100 false_pairs=[ 23.7368 14.1148 45.2833 59.2163 26.7965 24.8833 9.3218 50.2785 26.0546 12.3850 22.1460 33.5110 49.6715 20.6108 79.9455 39.1700 18.9861 37.1263 26.0222 20.4225 36.1426 29.6176 15.3809 35.1132 23.4244 40.7459 40.2514 20.7911 37.2960 20.8792 23.0708 62.8029 32.0988 33.9802 61.4065 34.3283 47.7017 12.9578 22.6976 16.6450 28.0039 13.8542 21.0263 24.0689 17.5653 75.3252 38.6623 28.5769] true_pairs=[ 7.1008 10.5005 9.1908 17.1865 28.7608 45.8418 11.9426 11.4319 22.4849 9.3063 26.1550 12.2826 13.6343 12.2714 10.6379 9.6202 14.6196 10.1886 14.1323 10.9858 11.4639 11.0245 9.8988 39.1881 22.5518 15.2854 8.4241 13.2277 13.0557 13.6717 10.3043 15.1101 10.4495 11.2108 10.3481 7.6514 11.7121 13.4476 13.1686 12.3943 7.5750 28.4535 18.8461 13.4413 13.3229 15.0084 257.6537 40.2081 67.5361 14.2237 6.2769 31.6682 10.1087 16.8739 16.7291 14.6844 13.7169 11.4236] plot_roc(true_pairs,false_pairs) 200 false_pairs=[ 74.7882 35.3094 24.0192 6.4586 63.4801 34.3327 9.2332 13.1784 12.6489 9.6452 86.8534 57.4107 10.2075 31.6699 18.3395 13.6805 26.7516 16.0874 8.3531 32.8726 16.1641 38.3829 13.2670 27.1416 44.8368 22.4974 17.7882 24.5747 17.1938 23.3990 36.1457 10.9659 36.9252 7.7635 40.9281 7.5319 20.6613 14.0929 25.5572 23.3553 13.5148 37.1765] f_acc = 14.5261 10.9861 Columns 1 through 9 0 0 0 74.7882 35.3094 24.0192 6.4586 63.4801 34.3327 Columns 10 through 12 9.2332 13.1784 12.6489 9.6452 86.8534 57.4107 10.2075 31.6699 Columns 19 through 27 18.3395 13.6805 26.7516 16.0874 8.3531 32.8726 16.1641 38.3829 13.2670 Columns 28 through 36 27.1416 44.8368 22.4974 17.7882 24.5747 17.1938 23.3990 36.1457 10.9659 Columns 37 through 45 36.9252 7.7635 40.9281 7.5319 20.6613 14.0929 25.5572 23.3553 13.5148 Column 46 37.1765 true_pairs= [ 5.7578 4.4312 0 5.0388 25.8486 4.8885 11.8689 4.8152 10.0087 5.2018 5.6301 4.8569 6.2444 12.7263 5.1983 5.6791 20.6699 3.6257 5.1981 4.9710 6.5393 5.0014 3.6432 11.7416 4.3307 5.9172 5.1443 5.8083 5.4840 3.9454 0 5.6720 9.6182 14.2702 13.5117 10.7489 22.3648 5.9575 8.5412 40.1995 6.7939 4.2581 16.9729 6.5069 8.5309 4.9135] f_acc = 0 0 0 5.7578 4.4312 0 0 0 0 5.0388 25.8486 4.8885 11.8689 4.8152 Columns 10 through 18 0 0 0 0 10.0087 5.2018 5.6301 4.8569 6.2444 Columns 28 through 36 0 0 0 0 0 0 12.7263 5.1983 5.6791 Columns 37 through 39 20.6699 3.6257 5.1981 0 0 0 0 4.9710 6.5393 5.0014 3.6432 11.7416 Column 46 4.3307 Columns 46 through 53 0 0 0 5.9172 5.1443 5.8083 5.4840 3.9454 Columns 55 through 59 0 5.6720 9.6182 14.2702 13.5117 Columns 64 through 72 10.7489 22.3648 5.9575 8.5412 40.1995 6.7939 4.2581 16.9729 6.5069 Columns 73 through 74 8.5309 4.9135 400 false_pairs=[ 18.6693 95.9456 28.3594 10.7865 7.5414 11.4868 15.6466 7.4166 68.5184 34.6537 18.9422 41.7245 23.2190 27.3684 15.2798 5.5714 36.5229 14.5598 37.5695 9.4000 24.5867 33.9105 29.0934 9.1149 112.4884 19.4489 42.0160 12.5397 14.1875 11.7884 22.1613 7.6175 14.0697 22.8053 14.2825 22.9526 12.5711 19.2077] false f_acc = 18.6693 f_acc = 0 0 0 95.9456 28.3594 10.7865 7.5414 0 11.4868 15.6466 Columns 10 through 18 0 0 0 0 7.4166 68.5184 34.6537 18.9422 41.7245 Columns 19 through 27 0 23.2190 27.3684 15.2798 5.5714 36.5229 14.5598 37.5695 9.4000 Columns 28 through 31 24.5867 33.9105 29.0934 9.1149 Columns 28 through 35 0 0 0 0 0 112.4884 19.4489 42.0160 Columns 37 through 45 0 12.5397 14.1875 11.7884 22.1613 7.6175 14.0697 22.8053 14.2825 Columns 46 through 48 22.9526 12.5711 19.2077 true_pairs= [ 2.5149 5.5934 2.2981 1.9226 2.5027 7.6689 2.1785 3.9758 4.6831 3.7627 3.7627 5.1517 3.5786 4.9290 5.4911 5.0240 4.1096 4.1689 13.0640 5.5012 3.0030 10.8394 3.5589 4.0884 2.5741 2.0319 2.2634 3.5278 11.6050 2.9739 2.4679 5.6927 4.9262 5.0681 2.8213 4.4583 8.5056 5.4760 4.7530 6.1818 6.0696] true f_acc = 2.5149 5.5934 2.2981 1.9226 2.5027 = Columns 1 through 9 0 0 0 0 0 0 0 0 7.6689 Column 10 2.1785 Columns 10 through 14 0 0 0 3.9758 4.6831 3.7627 3.7627 0 0 0 0 5.1517 3.5786 4.9290 Columns 28 through 29 5.4911 5.0240 0 0 0 4.1096 4.1689 13.0640 5.5012 3.0030 Columns 37 through 40 10.8394 3.5589 4.0884 2.5741 Columns 37 through 45 0 0 0 0 0 2.0319 2.2634 3.5278 11.6050 Columns 46 through 47 3.2682 14.8879 0 0 0 0 2.9739 2.4679 5.6927 4.9262 5.0681 Columns 55 through 60 0 2.8213 4.4583 8.5056 5.4760 4.7530 Columns 55 through 63 0 0 0 0 0 0 0 0 6.1818 Column 64 6.0696 800 false false_pairs=[ 14.9848 19.5447 9.8818 1.4891 11.0149 30.2515 18.3942 12.6697 37.0566 7.3167 13.0127 7.9080 29.5323 12.5670 13.7379 15.6291 52.0562] f_acc = 14.9848 f_acc = 0 0 0 19.5447 9.8818 f_acc = 0 0 0 0 0 0 1.4891 Columns 10 through 18 0 0 0 0 0 0 0 11.0149 30.2515 Columns 19 through 25 0 0 0 0 0 18.3942 12.6697 Columns 37 through 40 37.0566 7.3167 13.0127 7.9080 Columns 37 through 45 0 0 0 0 0 0 0 29.5323 12.5670 Columns 46 through 48 13.7379 15.6291 52.0562 true_pairs= [ 22.0844 3.3284 2.3572 1.6724 4.1886 2.8772 6.6235 3.1834 5.2386 2.8221 6.5297 7.6142 5.1380 1.5569 56.4264 2.4636 3.3405 3.5390 8.7076 4.4060 1.8091 14.2661 7.5995 1.8753 4.7565 5.2019 2.5271 2.7556 5.5819 1.9690 2.2551 2.5126 2.9977] true f_acc = 22.0844 3.3284 2.3572 1.6724 4.1886 2.8772 6.6235 Columns 10 through 17 0 0 0 0 0 0 3.1834 5.2386 Columns 55 through 60 0 2.8221 6.5297 7.6142 5.1380 1.5569 Columns 19 through 21 0 56.4264 2.4636 0 0 3.3405 3.5390 8.7076 4.4060 1.8091 14.2661 7.5995 1.8753 4.7565 5.2019 Columns 73 through 74 2.5271 2.7556 Columns 73 through 80 0 0 0 0 0 0 0 5.5819 Column 82 1.9690 2.2551 2.5126 2.9977 1600 false false_pairs=[ 10.1439 11.4404 17.7266 13.9487 13.5645 11.9197 10.8658 24.6147 4.7355 36.2960 38.9320 8.7354 34.7342 13.7273 13.6914 7.8881 23.6091 36.9515 29.1124 12.3938 3.8176] f_acc = 0 10.1439 11.4404 17.7266 13.9487 Columns 10 through 18 Columns 10 through 14 13.5645 0 11.9197 10.8658 24.6147 4.7355 36.2960 38.9320 8.7354 34.7342 Columns 19 through 22 6.6305 11.9711 182.9328 66.3100 Columns 19 through 25 0 0 0 0 0 0 13.7273 Columns 28 through 32 0 0 13.6914 7.8881 23.6091 Columns 37 through 40 36.9515 29.1124 12.3938 3.8176 true_pairs= [ 3.7397 2.7454 1.5331 1.9168 1.6729 4.0531 6.5139 2.2923 22.8332 26.1760 2.2597 3.7755 2.4415 4.2391 4.8103 3.6154 2.0456 1.7283 1.4224 1.9217 5.7493 5.4798 4.4625 3.8615 3.8663 3.6775 1.1122 1.2512 8.2903 1.7135 4.1745 3.2558] f_acc = 3.7397 2.7454 1.5331 1.9168 1.6729 Columns 10 through 18 0 0 0 0 0 0 4.0531 6.5139 2.2923 Columns 19 through 22 22.8332 26.1760 2.2597 3.7755 Columns 28 through 34 0 0 0 2.4415 4.2391 4.8103 3.6154 Columns 37 through 43 0 0 0 0 2.0456 1.7283 1.4224 Columns 46 through 48 1.9217 5.7493 5.4798 0 0 0 0 0 0 4.4625 3.8615 3.8663 Column 64 3.6775 0 0 0 0 0 0 0 0 1.1122 Columns 82 through 86 1.2512 8.2903 1.7135 4.1745 3.2558 plot_roc(false_pairs,true_pairs) 2500 true Column 64 12.2486 0 0 0 0 0 0 2.3530 2.1565 2.4072 Columns 82 through 86 1.5965 4.1703 1.4682 0.9875 2.9654 f_acc = 1.9313 2.5507 2.4226 1.5741 0 0 0 0 4.7360 2.0716 1.7860 6.9199 5.3963 Columns 19 through 23 6.0769 50.8867 2.2262 2.5760 4.3509 3000 false_pairs=[ 14.7359 11.3537 20.2265 17.6501 11.5593 61.2351 9.3871 29.9704 6.5909 28.3726 7.3729 8.8895 16.7835 14.7479 10.1782 11.3458 34.8912] f_acc = 14.7359 11.3537 20.2265 17.6501 11.5593 Columns 37 through 45 61.2351 9.3871 29.9704 6.5909 28.3726 7.3729 8.8895 16.7835 14.7479 Columns 46 through 48 10.1782 11.3458 34.8912 true_pairs= [ 2.3651 3.3327 1.7275 1.8768 1.8657 3.8178 5.2997 3.1270 1.9350 2.0534 2.4708 2.7838 1.9578 1.7381 6.8750 5.0099 34.3887 33.0056 5.1482 3.2818 3.9953 2.5245 208.1785 .8802 2.3322 6.1211 1.9576 2.3839 1.6979 199.5697 5.5692 75.8535 4.6318 4.1483 2.4045 7.1425 1.7966 1.3541 4.3315 3.6997] true f_acc = 2.3651 3.3327 1.7275 1.8768 1.8657 3.8178 5.2997 3.1270 1.9350 0 0 2.0534 2.4708 2.7838 1.9578 1.7381 6.8750 5.0099 Columns 19 through 25 34.3887 33.0056 5.1482 3.2818 3.9953 2.5245 208.1785 Columns 46 through 54 1.8802 2.3322 6.1211 1.9576 2.3839 1.6979 199.5697 5.5692 75.8535 Columns 55 through 62 4.6318 4.1483 2.4045 7.1425 1.7966 1.3541 4.3315 3.6997 4600 false_pairs= [ 39.8488 9.6289 28.2835 7.6198 34.1230 10.1760 12.2024 20.9049 8.4381] true false Columns 37 through 41 39.8488 9.6289 28.2835 7.6198 34.1230 Columns 10 through 17 0 0 0 0 0 0 0 10.1760 f_acc = 0 12.2024 20.9049 Columns 37 through 42 0 0 0 0 0 8.4381 true_pairs= [ 1.4094 2.8864 2.5785 1.8242 .7180 5.7584 6.4295] true true Columns 37 through 43 0 0 0 0 0 0 1.4094 Columns 28 through 36 0 0 0 0 0 0 0 2.8864 2.5785 Columns 46 through 49 0 0 0 1.8242 Columns 73 through 76 0 3.7180 5.7584 6.4295 Columns 73 through 80 0 0 0 0 0 0 2.4128 1.8692 After forehead cutoff (for hair) 2500 true f_acc = 4.8815 4.1775 2.1304 2.7504 1.5229 1.4046 2.2017 1.7617 1.4388 Columns 10 through 12 0 0 2.6155 Columns 10 through 17 0 0 0 0 0 0 6.5530 3.9113 Columns 28 through 36 0 0 0 0 0 0 0 0 5.0710 Columns 37 through 45 0 0 0 0 21.7840 1.5178 1.2698 1.9539 3.2101 Columns 46 through 48 2.7816 2.8257 5.4190 Columns 45 through 51 0 0 0 0 3.1297 3.8526 1.8278 Columns 55 through 63 0 0 0 0 2.9136 1.1698 3.4665 3.9695 5.1916 Column 64 4.0600 Columns 56 through 64 0 0 0 0 0 0 0 0 6.8517 false f_acc = 0 0 0 0 0 6.9030 28.6693 51.4378 12.7610 14.7634 Columns 12 through 19 0 0 0 0 0 0 0 14.8004 Columns 34 through 44 7.6256 14.8697 13.5786 4.0279 8.3023 10.3285 4.6026 8.8988 20.4511 13.6761 8.5624 Columns 45 through 46 17.1301 22.7231 3200 true Columns 34 through 44 0 0 0 0 0 0 2.6194 2.1475 2.4281 2.5186 2.9848 false f_acc = 0 0 0 0 0 7.7019 1.3351 32.3319 9.1835 7.5962 f_acc = 11.3981 6.9990 0 0 0 0 0 0 3.3699 24.9279 6.1334 5.4934 30.2695 Column 45 13.0124 hairline at 270 texas_boundaries_i=270; res 2500 true f_acc = 1.7596 2.0679 0.9435 0.9393 Columns 23 through 27 0 0 0 1.2311 38.2518 Columns 23 through 26 0 0 0 2.5756 * Preparing for ICP applied to image #54 - Sorting data types - Affine registration of:/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0239_095_20050913191522_Range.png and/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0238_095_20050913190720_Range.png 0 2.7233 6.4189 2.4715 1.8515 [[[[ smoothed]]]] Columns 37 through 44 1.1833 3.0879 1.5411 2.8902 1.8883 1.7607 2.4501 5.0320 [[///] false 6.7319 8.3765 6.8446 19.3670 10.1319 7.0071 22.4296 32.3066 7.3823 12.1580 9.6771 Columns 12 through 20 13.8439 21.3020 33.8575 53.7515 9.2555 29.3913 4.6937 4.8698 22.2562 hairline at 270 texas_boundaries_i=270; res 2500 smoothing=13 false_pairs=[ 4.5485 40.9230 10.7219 4.5689 16.7654 31.0733 6.4776 12.3488 49.6265 7.9288 23.4117 16.6914 10.5818 8.2928 11.6683] false f_acc = 0 0 4.5485 40.9230 10.7219 4.5689 16.7654 31.0733 6.4776 12.3488 49.6265 Columns 12 through 18 0 0 0 0 8.9712 16.7024 3.4622 Columns 12 through 22 0 0 0 0 0 0 0 0 0 11.8750 4.2862 Columns 23 through 24 12.2364 6.3410 Columns 23 through 29 0 0 0 7.9288 23.4117 16.6914 10.5818 Columns 23 through 33 0 0 0 0 0 0 0 0 54.7003 4.1720 35.1445 Columns 34 through 37 4.3050 169.5237 5.2369 2.1552 Columns 34 through 41 0 0 0 0 0 0 8.2928 11.6683 true true_pairs= [ 1.5410 2.5214 1.1723 2.5859 1.9538 1.2630 1.2944 0.8846 1.5740 1.1063 1.2304 3.9634 1.6927 1.5219 2.1262 2.4331 0.9906 3.7303 1.7707 1.4677 5.8722 2.8501 1.7516 2.6975 1.4548 4.1875 1.4939 3.1363 2.0864 1.4331 2.7359 1.1670 2.3846] f_acc = Columns 1 through 11 0 0 1.5410 2.5214 1.1723 2.5859 1.9538 1.2630 1.2944 0.8846 1.5740 Columns 12 through 17 1.1063 1.2304 3.9634 1.6927 1.5219 2.1262 Columns 23 through 26 2.4331 0.9906 3.7303 1.7707 Columns 45 through 47 0 0 1.4677 Columns 45 through 54 0 0 0 0 0 5.8722 2.8501 1.7516 2.6975 1.4548 Columns 56 through 66 0 0 0 0 0 0 0 0 0 77.8872 4.1875 Columns 67 through 70 0 0 0 1.4939 0 0 0 0 0 0 0 0 3.1363 2.0864 1.4331 Columns 78 through 80 2.7359 1.1670 2.3846 50 imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0286_096_20050912224230_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0285_096_20050912223033_Range.png') imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0063_034_20050913122456_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0061_033_20050913122529_Range.png') 65 imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0316_096_20050913171442_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0315_096_20050913165731_Range.png') Resolution increased With smoothing made better (covers a wider area in true 2-D) and the resolution increased somewhat, results so far show the threshold just approached by two images. It is premature to draw conclusion and too early to suggest that separability has been degraded/improved, but the good news is that GMDS has not failed in a major way, not for correct pairs anyway. This whole process could still use some tweaking and there are several ways remaining for improvement. false_pairs=[8.8191 43.0606 12.4543 4.0064 16.7727 5.6164 3.3214 18.1511] false f_acc = 8.0979 f_acc = 0 0 0 14.7701 f_acc = 0 0 0 0 0 35.2419 f_acc = 0 0 0 0 0 0 0 18.5423 4.7569 Columns 10 through 12 5.2338 8.8191 43.0606 Columns 23 through 33 0 0 0 0 0 0 0 0 12.4543 4.0064 16.7727 Columns 28 through 34 0 0 0 0 0 0 5.6164 Column 34 5.6164 Columns 34 through 44 0 0 0 0 0 0 0 0 0 6.9366 3.3214 Columns 37 through 40 0 0 4.7362 7.5486 Column 45 18.1511 44: figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0169_089_20050913114616_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0167_088_20050913120358_Range.png') true_pairs= [ 2.4641 2.2213 1.7403 3.4151 2.6213 2.9344 2.2650 2.9037 1.5781] true f_acc = 2.7539 Columns 12 through 13 0 1.7403 Columns 23 through 24 2.4641 2.2213 Columns 23 through 28 0 0 0 0 0 3.4151 28: figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0241_095_20050913192801_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0240_095_20050913192214_Range.png') Columns 37 through 39 0 0 1.7670 Columns 34 through 44 0 0 0 0 0 0 0 0 0 0 2.6213 Column 45 2.9344 Columns 55 through 62 0 0 0 0 0 0 0 2.2846 Columns 55 through 60 0 0 0 2.4456 2.4406 3.4252 Columns 73 through 74 0 3.1332 60: imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0335_097_20050912194243_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0334_097_20050912191829_Range.png') Column 78 2.2650 Columns 67 through 70 0 0 2.9037 1.5781 5 Vertices 3592 Faces 7000 Edges 10588 Genus -1.0 Diameter 3.911289e+02 Coarse correspondence Subsampling surface X... points = 8 radius = 101.779968 Subsampling surface Y... points = 10 radius = 76.129227 Computing best correspondence... Running B&B algorithm, bound = 106.443129... Corresponding points 8 L2 distortion 84.682086 Generalized Multidimensional Scaling Solver Samples 250 Levels 9 Distortion L2 Solving... Level 1 : points = 8 stress = 71.303734 RMS = 8.444154 iter = 2 Level 2 : points = 12 stress = 10.077553 RMS = 3.174516 iter = 2 Level 3 : points = 19 stress = 13.361608 RMS = 3.655353 iter = 2 Level 4 : points = 29 stress = 9.693765 RMS = 3.113481 iter = 2 Level 5 : points = 45 stress = 9.131197 RMS = 3.021787 iter = 2 Level 6 : points = 69 stress = 7.725270 RMS = 2.779437 iter = 2 Level 7 : points = 106 stress = 8.648616 RMS = 2.940853 iter = 2 Level 8 : points = 163 stress = 6.907396 RMS = 2.628192 iter = 2 Level 9 : points = 250 stress = 12.454309 RMS = 3.529066 iter = 2 Optimization terminated. RMS distortion = 3.529066 0.0078*diam(X) 0.0090*diam(Y) Max. distortion = 92.506775 0.2037*diam(X) 0.2365*diam(Y) a = 5 ------------------------------------------------------------------------ Segmentation violation detected at Tue Oct 11 13:20:23 2011 ------------------------------------------------------------------------ Configuration: MATLAB Version: 7.11.0.584 (R2010b) MATLAB License: 671014 Operating System: Linux 2.6.31-17-generic #54-Ubuntu SMP Thu Dec 10 17:01:44 UTC 2009 x86_64 GNU C Library: 2.10.1 stable Window System: The X.Org Foundation (10706000), display localhost:13.0 Current Visual: 0x21 (class 4, depth 24) Processor ID: x86 Family 6 Model 14 Stepping 5, GenuineIntel Virtual Machine: Java 1.6.0_17-b04 with Sun Microsystems Inc. Java HotSpot(TM) 64-Bit Server VM mixed mode Default Encoding: UTF-8 Fault Count: 1 Abnormal termination: Register State (from fault): RAX = 00007f24a03c2af0 RBX = 00007f3d456d9090 RCX = 000000000000002a RDX = 00007f3d456d9138 RSP = 00007f3d75919510 RBP = 00007f3d75919590 RSI = 00007f3d45ad2660 RDI = 00000000001c94a0 R8 = 000000000000057e R9 = 0000000000000010 R10 = 00000000000009c7 R11 = 00007f3d444fc2b0 R12 = 0000000000000001 R13 = 000000000000057e R14 = 000000000000057f R15 = 00007f3d456d9090 RIP = 00007f3d48389ab5 EFL = 0000000000010207 CS = 0033 FS = 0000 GS = 0000 Stack Trace (from fault): [ 0] 0x00007f3d84d450a9 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwfl.so+00454825 fl::sysdep::linux::unwind_stack(void const**, unsigned long, unsigned long, fl::diag::thread_context const&)+000009 [ 1] 0x00007f3d84cfe111 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwfl.so+00164113 fl::diag::stacktrace_base::capture(fl::diag::thread_context const&, unsigned long)+000161 [ 2] 0x00007f3d84d0742d /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwfl.so+00201773 [ 3] 0x00007f3d84d076b4 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwfl.so+00202420 fl::diag::terminate_log(char const*, fl::diag::thread_context const&, bool)+000100 [ 4] 0x00007f3d83ddc5a7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00365991 [ 5] 0x00007f3d82975190 /lib/libpthread.so.0+00061840 [ 6] 0x00007f3d48389ab5 /home/schestow/pcafaces/Imported/fmm_tiangulated/fastmarch1_mex.mexa64+00006837 [ 7] 0x00007f3d48389ec8 /home/schestow/pcafaces/Imported/fmm_tiangulated/fastmarch1_mex.mexa64+00007880 mexFunction+000201 [ 8] 0x00007f3d7e4743aa /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmex.so+00041898 mexRunMexFile+000090 [ 9] 0x00007f3d7e472089 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmex.so+00032905 [ 10] 0x00007f3d7e4728ca /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmex.so+00035018 [ 11] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 12] 0x00007f3d8363c523 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+03253539 [ 13] 0x00007f3d8363cc8b /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+03255435 [ 14] 0x00007f3d8363d7b4 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+03258292 [ 15] 0x00007f3d834c197f /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01702271 [ 16] 0x00007f3d834ecdde /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01879518 [ 17] 0x00007f3d834eced3 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01879763 [ 18] 0x00007f3d835ec3f5 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+02925557 [ 19] 0x00007f3d83434e8b /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01126027 [ 20] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 21] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 22] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 23] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 24] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 25] 0x00007f3d8347a5f8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01410552 [ 26] 0x00007f3d834330f7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01118455 [ 27] 0x00007f3d83434058 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01122392 [ 28] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 29] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 30] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 31] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 32] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 33] 0x00007f3d8347a5f8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01410552 [ 34] 0x00007f3d834330f7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01118455 [ 35] 0x00007f3d83434058 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01122392 [ 36] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 37] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 38] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 39] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 40] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 41] 0x00007f3d8347a5f8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01410552 [ 42] 0x00007f3d834330f7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01118455 [ 43] 0x00007f3d83434058 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01122392 [ 44] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 45] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 46] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 47] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 48] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 49] 0x00007f3d8363c523 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+03253539 [ 50] 0x00007f3d8363cc8b /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+03255435 [ 51] 0x00007f3d8363d7b4 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+03258292 [ 52] 0x00007f3d834c197f /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01702271 [ 53] 0x00007f3d834ecdde /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01879518 [ 54] 0x00007f3d834eced3 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01879763 [ 55] 0x00007f3d835ec3f5 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+02925557 [ 56] 0x00007f3d83434e8b /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01126027 [ 57] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 58] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 59] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 60] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 61] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 62] 0x00007f3d83b2fe67 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00179815 [ 63] 0x00007f3d83b32454 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00189524 [ 64] 0x00007f3d83b2786b /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00145515 Mfh_MATLAB_fn::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000283 [ 65] 0x00007f3d8347a5f8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01410552 [ 66] 0x00007f3d834330f7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01118455 [ 67] 0x00007f3d83434058 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01122392 [ 68] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 69] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 70] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 71] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 72] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 73] 0x00007f3d8347a5f8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01410552 [ 74] 0x00007f3d834330f7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01118455 [ 75] 0x00007f3d83434058 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01122392 [ 76] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 77] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 78] 0x00007f3d834367b1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01132465 [ 79] 0x00007f3d834913c8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01504200 [ 80] 0x00007f3d83b602dc /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_dispatcher.so+00377564 Mfh_file::dispatch_fh(int, mxArray_tag**, int, mxArray_tag**)+000332 [ 81] 0x00007f3d8347a5f8 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01410552 [ 82] 0x00007f3d834330f7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01118455 [ 83] 0x00007f3d8343410d /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01122573 [ 84] 0x00007f3d8343815c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01139036 [ 85] 0x00007f3d83435ede /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01130206 [ 86] 0x00007f3d83436b9e /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01133470 [ 87] 0x00007f3d8342d220 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01094176 [ 88] 0x00007f3d8342da16 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01096214 [ 89] 0x00007f3d834297f3 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwm_interpreter.so+01079283 [ 90] 0x00007f3d7cd0dd32 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwgui.so+00314674 MCallback::_execute(mxArray_tag*, mxArray_tag*, int, mxArray_tag**) const+000178 [ 91] 0x00007f3d7cd0e197 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwgui.so+00315799 MCallback::execute(mxArray_tag*, mxArray_tag*) const+000119 [ 92] 0x00007f3d7c5d9eac /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwhg.so+03579564 [ 93] 0x00007f3d7c5df9c6 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwhg.so+03602886 [ 94] 0x00007f3d7c5a4311 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwhg.so+03359505 [ 95] 0x00007f3d7c53a7c7 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwhg.so+02926535 [ 96] 0x00007f3d7c52f605 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwhg.so+02881029 [ 97] 0x00007f3d7d95e545 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwudd.so+00599365 [ 98] 0x00007f3d7bb0ca12 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwudd_mi.so+00203282 [ 99] 0x00007f3d7b3945d5 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwuix.so+00431573 [100] 0x00007f3d7b3a22a0 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwuix.so+00488096 [101] 0x00007f3d7b3a259c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwuix.so+00488860 [102] 0x00007f3d844f0942 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwservices.so+00452930 ioGetCharNoEcho(bool, bool)+000050 [103] 0x00007f3d84010dbd /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00089533 [104] 0x00007f3d84011ee1 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00093921 [105] 0x00007f3d8401240c /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00095244 [106] 0x00007f3d84012743 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00096067 [107] 0x00007f3d84014b4b /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00105291 [108] 0x00007f3d84014d0d /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00105741 [109] 0x00007f3d84015233 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwbridge.so+00107059 mnParser+000499 [110] 0x00007f3d83dc9f89 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00290697 mcrInstance::mnParser_on_interpreter_thread()+000041 [111] 0x00007f3d83db24af /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00193711 [112] 0x00007f3d83dadd26 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00175398 [113] 0x00007f3d7b3945d5 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwuix.so+00431573 [114] 0x00007f3d7b39d9cd /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libmwuix.so+00469453 [115] 0x00007f3d7bdb221d /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libuij.so+00229917 sysq::during_F, boost::shared_ptr > std::for_each<__gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >, sysq::during_F, boost::shared_ptr > >(__gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >, __gnu_cxx::__normal_iterator*, std::vector, std::allocator > > >, sysq::during_F, boost::shared_ptr >)+000077 [116] 0x00007f3d7bdb3ae9 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libuij.so+00236265 [117] 0x00007f3d7bdb05ea /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/../../bin/glnxa64/libuij.so+00222698 svWS_ProcessPendingEvents(int, int, bool)+000506 [118] 0x00007f3d83dafe6f /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00183919 [119] 0x00007f3d83db0715 /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00186133 [120] 0x00007f3d83db09de /usr/local/MATLAB/R2010b/bin/glnxa64/../../bin/glnxa64/libmwmcr.so+00186846 [121] 0x00007f3d8296ca04 /lib/libpthread.so.0+00027140 [122] 0x00007f3d826d680d /lib/libc.so.6+00915469 clone+000109 This error was detected while a MEX-file was running. If the MEX-file is not an official MathWorks function, please examine its source code for errors. Please consult the External Interfaces Guide for information on debugging MEX-files. If this problem is reproducible, please submit a Service Request via: http://www.mathworks.com/support/contact_us/ A technical support engineer might contact you with further information. Thank you for your help. MATLAB may attempt to recover, but even if recovery appears successful, we recommend that you save your workspace and restart MATLAB as soon as possible. false= [8.0979 35.2419 18.5423 4.7569 5.2338 8.8191 43.0606 12.4543 4.0064 16.7727 5.6164 5.6164 6.9366 3.3214 4.7362 7.5486 18.1511] true =[ 2.7539 1.7403 2.4641 2.2213 3.4151 1.7670 2.6213 2.9344 2.2846 2.4456 2.4406 3.4252 3.1332 2.2650 2.9037 1.5781] [false, true] sort (ans) bar(ans) dealing with the problematic image in isolation, the relative values of GMDS (relative to other of its kind) were studied to better understand when and why they diverge to the point where GMDS matches quite well faces that are from different people (and inherently dissimilar). 3500, 2500 Columns 34 through 44 0 0 0 0 0 0 0 0 0 6.9366 3.3214 2500x2 Columns 37 through 44 0 0 0 0 0 0 0 3.5487 1000x2 Columns 37 through 43 0 0 0 0 0 0 7.8535 Columns 37 through 44 0 0 0 0 0 0 0 8.2581 600x2 Columns 37 through 44 0 0 0 0 0 0 8.6085 4.5759 15.8665 with smoothing and other parameters kept invariable, it should be possible to run these experiments in mutiple scales and then learn by observation how to later conduct a uncontrolld, unsupervised and blind experiment where more than just one GMDS operation is used to assess similarity. false ans(:,:,3) = 0.2697 ans(:,:,3) = 0.6105 ans(:,:,3) = 0.3313 ans(:,:,3) = 0.0266 treue ans(:,:,3) = 0.6708 ans(:,:,3) = 0.4425 ans(:,:,3) = 1.6140 ans(:,:,3) = 1.8901 ans(:,:,3) = 0.6288 PIXEL diffs Columns 1 through 9 1.1844 3.0118 2.1259 9.1146 0.2722 0.3597 0.3993 4.1010 1.3861 Columns 10 through 18 3.7138 2.2059 5.1075 0.1690 0.3499 0.1410 3.8547 0.1485 0.7746 Columns 19 through 27 1.5789 6.7621 1.6591 1.0486 0.3615 0.2841 0.0570 1.6859 6.5390 Columns 28 through 36 2.5592 4.1253 0.3817 2.4429 0.3490 0.3938 1.7252 8.6653 2.5589 Columns 37 through 45 3.9747 0.6854 3.9513 1.2968 4.4419 0.1780 2.7443 3.0168 6.9566 Column 46 6.4906 scores_diff = Columns 1 through 9 0.2419 1.6026 0.1582 0.2900 0.3540 0.8626 0.9525 0.4052 0.7764 Columns 10 through 18 0.4892 0.4903 0.7277 1.3212 0.4670 1.2213 1.4340 0.6825 0.5378 Columns 19 through 27 0.9981 0.6282 0.2663 0.1453 0.8116 0.3418 0.6248 0.7810 0.5545 Columns 28 through 36 0.5074 0.6621 0.1278 0.3221 0.5629 1.2546 0.2220 1.4189 0.8442 Columns 37 through 45 0.1582 0.2672 0.3871 1.0160 0.6196 1.2294 1.0482 1.0328 1.2786 Columns 46 through 54 0.7165 0.3839 1.1988 0.5509 1.0149 0.5257 0.5495 0.6821 1.9664 Columns 55 through 63 1.5712 1.0339 2.4481 0.8109 1.2092 0.9605 0.8626 2.6961 0.4565 Columns 64 through 72 0.5766 0.2277 0.7771 0.4101 0.4218 1.6548 0.5144 0.6617 0.4334 Columns 73 through 81 6.2897 3.3707 0.8261 0.6993 0.3459 1.5935 0.2731 1.2820 1.0370 Columns 82 through 83 0.4907 0.7391 Columns 1 through 9 false_pairs=[ 1.1844 3.0118 2.1259 9.1146 0.2722 0.3597 0.3993 4.1010 1.3861 3.7138 2.2059 5.1075 0.1690 0.3499 0.1410 3.8547 0.1485 0.7746 1.5789 6.7621 1.6591 1.0486 0.3615 0.2841 0.0570 1.6859 6.5390 2.5592 4.1253 0.3817 2.4429 0.3490 0.3938 1.7252 8.6653 2.5589 3.9747 0.6854 3.9513 1.2968 4.4419 0.1780 2.7443 3.0168 6.9566 6.4906] scores_diff = Columns 1 through 9 true_pairs=[ 0.2419 1.6026 0.1582 0.2900 0.3540 0.8626 0.9525 0.4052 0.7764 0.4892 0.4903 0.7277 1.3212 0.4670 1.2213 1.4340 0.6825 0.5378 0.9981 0.6282 0.2663 0.1453 0.8116 0.3418 0.6248 0.7810 0.5545 0.5074 0.6621 0.1278 0.3221 0.5629 1.2546 0.2220 1.4189 0.8442 0.1582 0.2672 0.3871 1.0160 0.6196 1.2294 1.0482 1.0328 1.2786 0.7165 0.3839 1.1988 0.5509 1.0149 0.5257 0.5495 0.6821 1.9664 1.5712 1.0339 2.4481 0.8109 1.2092 0.9605 0.8626 2.6961 0.4565 0.5766 0.2277 0.7771 0.4101 0.4218 1.6548 0.5144 0.6617 0.4334 6.2897 3.3707 0.8261 0.6993 0.3459 1.5935 0.2731 1.2820 1.0370 0.4907 0.7391] limited region true_pairs=[ 0.8546 4.1578 0.4479 0.8098 0.8671 1.2572 2.3945 0.8945 1.7916 1.1690 0.7922 1.9775 3.2132 1.2367 2.5765 2.4824 1.8401 1.4124 2.2834 2.0512 0.3391 0.2201 1.8590 0.6098 1.5443 1.5209 1.2159 0.8662 1.3535 0.4544 0.6126 0.9554 3.2103 0.3284 3.5920 2.6680 0.2637 0.7040 1.1472 1.7642 1.8726 2.8586 2.8468 2.8431 3.2184 1.1639 1.0128 2.1559 1.6706 2.1275 1.1102 1.2131 1.5848 4.4812 3.3359 1.9628] scores_diff = Columns 1 through 9 0.8546 4.1578 0.4479 0.8098 0.8671 1.2572 2.3945 0.8945 1.7916 Columns 10 through 18 1.1690 0.7922 1.9775 3.2132 1.2367 2.5765 2.4824 1.8401 1.4124 Columns 19 through 27 2.2834 2.0512 0.3391 0.2201 1.8590 0.6098 1.5443 1.5209 1.2159 Columns 28 through 36 0.8662 1.3535 0.4544 0.6126 0.9554 3.2103 0.3284 3.5920 2.6680 Columns 37 through 45 0.2637 0.7040 1.1472 1.7642 1.8726 2.8586 2.8468 2.8431 3.2184 Columns 46 through 54 1.1639 1.0128 2.1559 1.6706 2.1275 1.1102 1.2131 1.5848 4.4812 3.3359 1.9628 5.7380 1.9282 2.5360 2.0713 2.0723 7.2163 1.1806 Columns 64 through 72 1.7534 0.5481 1.3718 1.0629 0.7769 3.1646 0.9651 0.8533 0.7670 Columns 73 through 81 9.2186 7.3451 1.8538 1.8963 1.0966 3.4203 0.5825 3.3301 2.5157 Columns 82 through 83 1.2132 1.9548 Columns 85 through 91 0 0 0 0.3209 1.8029 4.8258 2.1794 Columns 92 through 98 8.0103 12.6374 1.7823 13.4198 1.6280 20.4076 0.4215 Columns 99 through 105 20.8871 34.8051 66.0900 14.0190 14.5377 49.2682 18.4267 Columns 106 through 112 19.6040 0.4164 14.7824 39.4459 17.2529 1.4291 2.6693 Columns 113 through 119 21.0912 21.5942 4.6499 4.2012 8.3769 12.4648 6.2746 Columns 120 through 126 2.8074 11.3978 18.8859 158.8312 25.3154 38.1507 3.2174 Columns 127 through 133 23.7822 35.8440 21.3726 7.4874 12.5709 2.8867 17.8164 Columns 134 through 140 8.7779 15.5888 9.4215 33.2594 10.4214 17.9716 36.4202 Columns 141 through 147 57.3526 3.7997 3.5402 5.2101 1.7745 15.8219 2.2780 Columns 148 through 154 11.4000 2.4154 5.3114 9.8529 6.9083 1.8296 166.1228 Columns 155 through 161 8.5908 7.0019 2.8089 5.7299 11.5489 0.6772 5.9389 Columns 162 through 168 4.7158 13.5053 4.5262 142.7458 5.0720 41.8044 6.3177 Columns 169 through 175 17.5923 2.1914 17.8898 2.8529 3.2334 49.0181 21.8359 Columns 176 through 182 1.4646 1.7351 25.7868 1.1811 9.7950 5.9209 23.1786 Columns 183 through 189 7.0635 66.1943 18.3219 24.4705 40.4414 12.0473 6.3039 Columns 190 through 195 41.3498 10.1804 6.0361 18.6308 4.8185 5.8622 false_pairs=[ 1.8554 5.1564 4.3860 22.8811 0.9667 1.1511 0.8545 10.6002 3.8630 8.2681 5.7781 7.2932 0.5486 1.1593 0.4912 5.0249 0.3550 1.3953 3.8746 14.6838 4.1151 1.5568 1.1376 0.1915 0.1992 5.5470] scores_diff = Columns 1 through 11 1.8554 5.1564 4.3860 22.8811 0.9667 1.1511 0.8545 10.6002 3.8630 8.2681 5.7781 Columns 12 through 22 7.2932 0.5486 1.1593 0.4912 5.0249 0.3550 1.3953 3.8746 14.6838 4.1151 1.5568 Columns 23 through 26 1.1376 0.1915 0.1992 5.5470 14.7296 Columns 28 through 36 5.3446 9.2376 0.7105 5.0971 0.8450 1.3594 5.1396 16.6328 7.1819 Columns 37 through 45 6.7558 1.6719 8.9029 3.2979 11.8763 0.1602 5.9800 7.1408 13.2706 Column 46 14.2529 The previous results demostrated the great weakness of purely Euclidean measures, where every bit of misalignment almost dominates the difference. The challenge has since then been to idnetify a Euclinean distances-based measure which is robust to this type of variation and then complement the purely geodedic distances-based measure. In order to demontrate the great variation, even within pairs of the same individual imaged, a figure was produced, showing areas of very high contrast, e.g. at the sides of faces. By aligning around the nose and then considering just the nose area we can get better results that are based on Euclidean properties. Another Euclidean-based measure worth exploring might be distances between paricular points of interest, e.g. eye corners and nose tip. The goal is to eliminate cases where two images are identified as belonging to the same person based on geodesic properties, even though based on other criteria this is clearly not the case. pizel differences sum of squared differences to make it more robust to movement around the nose tip, the surfaces are shifted a controlled amount in X and Y in search of an optimal match nose only true scores_diff = true_pairs=[ 2.3758 0.8930 0.4410 3.8518 1.0428 0.7553 2.3758 0.8930 0.4410 3.8518 1.0428 0.7553 2.1993 1.1407 3.4077 1.8374 1.5458 1.8393 3.4516 3.0247 5.2558 3.7636 1.5804] false false_pairs=[ 4.3435 3.7695 2.3660 22.3395 2.0402 1.5811 2.6289 11.2259 7.6387 9.5880 9.0265 11.1024 1.7808 1.0720 1.6285 6.3332 0.7581 5.6208 5.0874 16.7113 7.5308 2.5874 4.1904 0.4872 1.9771 3.9783 15.3070 8.4626 10.6369 1.4987 3.6684] sum of squared differences true Columns 1 through 9 true_pairs=[ 12.5778 4.0327 1.0684 25.2860 3.4564 3.2878 15.9770 4.9056 26.3564 8.1181 8.6497 10.8101 32.8961 26.0687 51.8147 30.1593 8.4769 4.0881 36.6629] Columns 1 through 9 false_pairs=[ 42.0272 30.1337 23.0661 170.1467 21.9494 15.0677 25.8770 140.4279 74.3436 106.1461 97.4683 126.9330 18.4584 7.9436 20.1572 61.0527 6.4562 51.2738 55.5280 183.9278 83.4774 18.3304 39.7406 3.3107] with sliding windows True true_pairs=[ 7.7890 2.6148 0.5754 20.3990 1.8302 2.1538 11.0230 3.4869 20.3341 7.9282 6.1340 7.0204 26.3484 17.9863 50.5586 23.6930 6.3758 2.0700 28.5344 17.5795 2.7811] false Columns 1 through 9 false_pairs=[ 40.2475 29.1970 19.3603 169.2730 18.3511 11.2356 23.8388 137.7993 67.9634 105.1389 95.2879 126.7510 14.9415 5.6737 18.2395 57.9165] false false_pairs=[ 4.7613 28.5495 23.8735 186.2865 22.6437 13.0926 18.1525 122.1480 27.9603 94.5514 90.9323 107.5451] true_pairs=[ 9.6101 3.2265 0.7100 19.7326 2.2540 2.1118 13.5911 4.3025 24.0134 4.0205 5.4749 8.6626 30.9814 20.1444 11.8059 16.2939 7.7251 2.5487 32.7210] full run true scores_diff = Columns 1 through 9 9.6101 3.2265 0.7100 19.7326 2.2540 2.1118 13.5911 4.3025 24.0134 Columns 10 through 18 4.0205 5.4749 8.6626 30.9814 20.1444 11.8059 16.2939 7.7251 2.5487 Columns 19 through 27 32.7210 21.6917 0.9308 46.1530 21.3779 2.0994 13.1910 4.1422 3.2026 Columns 28 through 36 5.9664 4.7773 12.9658 5.9663 0.8712 44.7853 36.5463 20.1447 67.6360 Columns 37 through 45 0.2859 7.3605 4.1947 5.2573 4.5021 8.3806 3.5739 93.9366 2.6716 Columns 46 through 54 11.3724 12.2468 35.7932 112.2413 65.3219 1.5950 16.0687 5.7725 28.9122 Columns 55 through 63 12.9996 2.3427 44.1097 8.3163 31.5329 10.5663 64.3743 72.5048 18.2831 Columns 64 through 72 25.9130 19.2140 12.4408 1.9603 16.4841 32.9404 1.4624 12.0659 3.4921 Columns 73 through 81 56.7921 2.5112 17.2275 21.3540 9.2562 7.0790 13.1247 21.5961 6.8836 Columns 82 through 83 scores_diff = Columns 1 through 9 4.7613 28.5495 23.8735 186.2865 22.6437 13.0926 18.1525 122.1480 27.9603 Columns 10 through 18 94.5514 90.9323 107.5451 14.4156 7.0009 22.5060 32.5032 5.1162 41.1542 Columns 19 through 27 38.0301 178.8327 63.2677 7.3443 41.9099 1.8730 14.4364 46.1600 147.6785 Columns 28 through 36 81.1536 104.3776 8.0383 29.3664 15.7062 42.9273 54.0996 181.7755 102.0951 Columns 37 through 45 67.9374 13.6528 113.5521 48.5611 159.1133 3.5668 99.4353 116.3923 127.2409 Column 46 184.9467 3.9808 20.8275 true 600: false 0 0 0 0 0 0 10.2834 47.1202 3500. 3500 false f_acc = 0 4.9463 f_acc = 0 0 0 14.3468 11.7152 f_acc = 0 0 0 0 0 0 0 23.5500 Columns 10 through 11 5.6002 9.1066 Columns 10 through 14 0 0 0 15.7725 5.3399 Columns 10 through 18 0 0 0 0 0 0 0 0 3.0012 Columns 19 through 23 0 0 0 0 8.6175 true f_acc = 0 1.9655 2.0572 f_acc = 0 0 0 0 1.9582 f_acc = 0 0 0 0 0 0 2.9887 Columns 10 through 16 0 0 0 0 0 4.2413 4.4065 Columns 19 through 20 35.1120 39.6051 Column 28 34.0437 Columns 28 through 31 0 0 0 1.5552 Columns 28 through 33 0 0 0 0 0 1.5807 Columns 28 through 35 0 0 0 0 0 0 0 4.1936 Columns 36 through 42 0 0 0 0 0 0 2.1099 Columns 57 through 63 0 0 0 0 0 0 2.0939 Columns 57 through 61 0 0 0 4.4170 5.4094 Columns 57 through 63 0 0 0 0 0 0 2.0939 Columns 64 through 70 0 0 0 0 0 0 1.7681 4500x4500 does not work 1000x1000, mask, 50 points false: Columns 1 through 7 0 12.0794 23.2731 39.4334 7.7999 23.0882 698.7048 Columns 8 through 9 16.4515 32.2985 0 0 0 0 0 23.0882 466.2921 Columns 8 through 9 16.4515 32.2985 true: 1000x1000, mask, 50 points. geodedic mask true 0 0 0 0 0 0 0 0 0 Columns 10 through 17 0 2.5594 2.5026 4.0194 2.6584 2.2470 1.9646 1.4088 Columns 29 through 35 0 24.9704 1.7632 1.7143 9.9131 2.2541 0.7726 Columns 36 through 42 15.6774 4.4636 4.1900 1.6014 3.3235 1.1420 1.7454 Columns 43 through 48 2.0083 4.1392 5.9809 1.1821 8.1416 6.9452 0 0 0 0 0 2.2541 0.7726 Columns 36 through 42 15.6774 4.4636 4.1900 1.6014 3.3235 1.1420 1.7454 Columns 43 through 48 2.0083 4.1392 5.9809 1.1821 8.1416 6.9452 false 0 0 0 0 3.0850 14.1221 14.3458 Columns 29 through 35 7.6264 6.7859 3.9368 5.0026 25.7183 8.2246 18.7316 Columns 36 through 42 31.1947 2.3073 3.9720 13.5318 3.1527 8.9075 10.3866 Columns 43 through 46 9.0818 7.6977 9.4350 13.0217 I have spent a long time running valuable experiments to examine the effect of various parameters in the similarity measure, e.g. by rising the number of points from 50 to 250, and 350. With boundaries that are Euclidean altogether removed, we are no longer limiting outselves to any criteria either than geodesic and then, combining it with a Euclidean measure as before (for borderline cases), perfect classification can be attained for the smaller experiments conducted to test the surface, so to speak (with 60 images). no top boundaty, 50 points true Columns 36 through 42 8.1159 5.1275 1.9970 2.1149 2.3310 6.3992 6.4341 Columns 43 through 49 2.1366 11.7652 1.2463 6.4863 2.5555 75.9482 5.3246 Columns 50 through 53 3.3071 1.7112 5.7330 1.5762 250 points Columns 22 through 28 0 0 0 4.2739 1.6815 2.3760 2.0860 Column 29 2.3419 350, 1000 vertices Columns 8 through 14 0 0 0 0 2.3175 2.3414 4.1309 Column 15 1.9609 Columns 15 through 21 0 0 2.5182 1.6922 2.0767 4.6452 1.8657 Columns 22 through 26 4.6762 2.1858 4.1613 3.7967 1.9140 Columns 50 through 56 0 0 5.4792 1.4034 2.5075 5.2553 2.2855 Columns 57 through 58 2.1668 4.2178 Columns 64 through 70 0 0 0 3.9787 2.2794 13.7225 5.6908 Columns 71 through 77 2.6640 2.7658 23.1080 3.0304 4.6937 2.2180 4.1924 Columns 78 through 83 3.3795 3.1219 8.3464 2.1984 2.6884 2.8448 {{{ at resolution 2000 0 0 0 3.7162 2.5029 1.5122 0.8820 Columns 71 through 77 70.1079 1.9491 5.9833 2.4212 15.7063 1.3020 3.6362 Column 78 2.0638 }} false Columns 1 through 7 7.4555 7.5325 5.3180 79.8716 10.2049 12.3061 27.1284 Columns 8 through 14 21.9485 5.3799 5.6739 6.0367 7.8109 9.4148 17.4628 Columns 15 through 18 28.1601 2.3593 42.4387 3.5647 0 0 0 0 0 11.3288 11.0764 Columns 22 through 28 2.9461 7.3639 11.5101 7.4587 18.5824 12.5731 5.6768 Columns 29 through 35 11.1625 3.7075 6.7243 4.6257 34.1150 6.6142 21.3386 Columns 36 through 42 10.5951 7.7869 10.4826 18.1125 19.3677 7.6749 10.2305 Columns 43 through 46 15.2284 5.1056 19.9587 13.0276 2000 true Columns 1 through 7 0 0 0 0 1.0800 78.2876 1.9143 Columns 8 through 9 5.8965 2.9832 Columns 8 through 14 0 0 2.7597 37.8993 1.2928 1.2746 2.6863 Columns 15 through 21 0.8739 1.5279 1.3545 74.7847 0.8480 42.0939 2.4249 Columns 22 through 28 2.0779 3.6942 1.7973 40.5555 1.3480 NaN 1.7100 1.6120 3.2134 1.0903 1.9985 3.8336 Columns 36 through 42 5.0822 1.4557 6.6367 1.2584 2.9594 0.6671 1.1616 Columns 43 through 49 1.6758 6.9549 0.8029 2.6124 11.2336 1.1933 4.5821 Columns 50 through 56 4.1445 1.0995 4.6033 2.4942 71.4858 1.3940 1.9193 Columns 57 through 63 3.5564 7.0861 86.5832 2.7114 12.5126 3.5692 7.8505 Columns 64 through 70 5.3066 5.7369 6.0483 3.7162 2.5029 1.5122 0.8820 Columns 71 through 77 111.7119 1.9491 5.9833 2.4212 15.7063 1.3020 3.6362 Columns 78 through 83 2.0638 6.9853 2.1145 1.1467 5.0117 5.9959 true_pairs=[1.0800 78.2876 1.9143 1.8965 2.9832 2.7597 37.8993 1.2928 1.2746 2.6863 0.8739 1.5279 1.3545 74.7847 0.8480 42.0939 2.4249 2.0779 3.6942 1.7973 40.5555 1.3480 1.7100 1.6120 3.2134 1.0903 1.9985 3.8336 1.0822 1.4557 1.6367 1.2584 2.9594 0.6671 1.1616 1.6758 1.9549 0.8029 2.6124 11.2336 1.1933 4.5821 1.1445 1.0995 1.6033 2.4942 71.4858 1.3940 1.9193 3.5564 1.0861 86.5832 2.7114 12.5126 3.5692 1.8505 1.3066 1.7369 1.0483 3.7162 2.5029 1.5122 0.8820 111.7119 1.9491 5.9833 2.4212 15.7063 1.3020 3.6362 2.0638 0.9853 2.1145 1.1467 1.0117 0.9959] Columns 85 through 91 0 0 0 63.5869 1.1640 30.8190 2.2178 Columns 92 through 98 1.6060 1.1010 2.0483 NaN NaN 1.7970 12.9056 Columns 99 through 105 2.6407 3.9425 7.5804 1.9351 61.5186 2.2929 3.0913 Columns 106 through 112 2.5404 3.1504 7.9872 4.7094 NaN 0.9832 71.8335 Columns 113 through 119 65.5195 2.4523 2.9293 68.2690 1.9838 1.4535 47.4735 Columns 120 through 126 1.1365 2.1475 2.1298 70.6792 30.5150 9.2957 1.8145 Columns 127 through 133 3.8483 1.3535 1.2162 2.4092 1.4758 0.9877 1.0276 Columns 134 through 140 1.1267 88.2993 26.3877 1.9103 3.1691 1.1957 66.5139 Columns 141 through 147 3.2893 4.1740 2.4420 3.5650 1.1202 2.2844 1.6628 Column 148 1.0263 true_pairs=[ 63.5869 1.1640 30.8190 2.2178 1.6060 1.1010 2.0483 1.7970 12.9056 2.6407 3.9425 7.5804 1.9351 61.5186 2.2929 3.0913 2.5404 3.1504 1.9872 4.7094 0.9832 71.8335 65.5195 2.4523 2.9293 68.2690 1.9838 1.4535 47.4735 1.1365 2.1475 2.1298 70.6792 30.5150 9.2957 1.8145 3.8483 1.3535 1.2162 2.4092 1.4758 0.9877 1.0276 1.1267 88.2993 26.3877 1.9103 3.1691 1.1957 66.5139 3.2893 4.1740 2.4420 3.5650 1.1202 2.2844 1.6628 1.0263] false Columns 1 through 7 7.8244 8.7622 8.6234 18.5420 11.1586 9.7382 4.8717 Columns 8 through 10 22.2169 7.7816 45.0496 Columns 43 through 46 6.1332 7.1435 16.7351 9.5853 5.8257 16.1262 13.4065 16.8141 7.2210 85.0941 14.4974 Columns 29 through 35 7.5185 3.3209 2.7128 2.8117 22.5012 72.3415 17.7374 Columns 8 through 10 22.2169 7.7816 45.0496 false_pairs=[ 7.8244 8.7622 8.6234 18.5420 11.1586 9.7382 4.8717 22.2169 7.7816 45.0496 16.1332 7.1435 16.7351 9.5853 3.8257 16.1262 13.4065 16.8141 7.2210 85.0941 14.4974 7.5185 6.3209 3.7128 4.8117 22.5012 72.3415 17.7374] 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 7.6245 24.4645 15.6495 9.6634 Columns 15 through 21 23.0318 1.7375 18.3449 5.1343 8.7307 45.6735 44.4861 Columns 22 through 28 5.8257 16.1262 13.4065 16.8141 7.2210 85.0941 14.4974 Column 29 7.5185 false_pairs=[ 7.6245 24.4645 15.6495 9.6634 23.0318 1.7375 18.3449 5.1343 8.7307 45.6735 44.4861 5.8257 16.1262 13.4065 16.8141 7.2210 85.0941 14.4974 7.5185 ] Columns 8 through 14 0 0 0 7.6245 24.4645 15.6495 9.6634 Columns 15 through 21 23.0318 1.7375 18.3449 5.1343 8.7307 45.6735 44.4861 Columns 22 through 28 5.8257 16.1262 13.4065 16.8141 7.2210 85.0941 14.4974 Columns 29 through 35 7.5185 6.3209 3.7128 4.8117 22.5012 72.3415 17.7374 Columns 36 through 42 10.6834 7.0824 4.4291 8.9068 3.7220 5.7517 39.8277 Columns 43 through 46 6.1332 7.1435 16.7351 9.5853 3000 ERROR true f_acc = 0 0 0 0 1.2212 2.5088 2.6700 Columns 8 through 11 0 4.7796 56.6356 13.0892 Columns 15 through 17 0 0 16.2851 Columns 29 through 33 0 0 0 0 38.8208 Columns 36 through 38 0 0 69.3174 Columns 50 through 56 38.7450 26.5422 4.5349 139.3478 110.5910 0.8409 18.8806 Columns 57 through 58 28.1339 74.3432 false debugged an resolved many of the crashing patterns, so experiments can now be run a lot faster, without starting a new session following each crash. extaneive experiments where the numbern of vetices and smoothing vary to be more strict about local variation and yet attain better aptial information and thus latch onto similar structures, respectiveky. It's about striking the balance bwteen being too stringent or lenient. ;strcat(image_base_path,'') % 30 ;strcat(image_base_path,'') ;strcat(image_base_path,'g') ;strcat(image_base_path,'') ;strcat(image_base_path,'') ;strcat(image_base_path,'') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0116_061_20050913105102_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0114_060_20050913100616_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0118_062_20050913093403_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0120_063_20050913095040_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0122_064_20050913112855_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0124_065_20050913110642_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0006_004_20050913124043_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0004_003_20050913121710_Range.png') Fiducial points are assumed to be unavailable as in reality, for example, manual markup won't be provided because it is impractical for fast assessment/compairosn. Texture makes it easy to identify areas like eye corners, whereas the nose is easy to accurately locate based on geometric distinction. So assuming absence of texture and fiducial points, in order to use Eucliean distances betwen different points on the planes (3D only, not 2D+3D) it might be required to decide on geometircally distinct properties, such as the point at which the area abive the eye socket flatters and becomes part of the forehead. This is not robust to eyebrow movement however, which brings into play emotional or expression-imposed variation. One natural substite for this would be the steepness of the nose, which is quite immune to variation by expression and can help discen individuals. Another possibility is to explore alternative ways of measuring geodesic properties, for example placing a fixed point, carving around it a a geodesic circle and then measure the Euclinean distance to to the edgo, based for example on the sum of absolute differences in 3 dimensions. A similar pair of surface should be carves at similar positions. Expploratory experiments will take a look at the potential of this property, based on a case-by-case assessment. Having run some experiments manually (with encouraging results, it seems reasonable to carry on and implementing this in code, seeing what kind of ROC curve would result from it. a bit like measuring their volume in space along each dimension, at least when confined to a box. true 245 ans = 250 ans = 292.5000 ans = 290 ans = 119.2363 ans = 119.0981 ans = 248.4863 ans = 250 ans = 286.1084 ans = 286.9901 ans = 120.3410 ans = 120.3833 ans = 244.9252 ans = 246.8428 ans = 292.1557 ans = 292.1257 ans = 115.3035 ans = 115.3985 ans = 248.6050 ans = 247.2109 ans = 220 ans = 222.5000 ans = 117.0400 ans = 117.0833 false ans = 257.7078 ans = 258.9286 ans = 290 ans = 290.2459 ans = 119.7949 ans = 119.6301 ans = 260 ans = 251.6278 ans = 291.0028 ans = 281.0028 ans = 128.1239 ans = 128.0916 ans = 245 ans = 253.3887 ans = 290.4096 ans = 297.3096 ans = 121.0972 ans = 121.0885 ans = 250 ans = 257.5240 ans = 290.6727 ans = 291.9405 ans = 119.2088 ans = 119.0465 treu true_pairs=[ 3.9373 2.0425 9.0825 2.4376 7.6382 5.2743 2.4884 5.9394 6.4106 4.5048 8.5818 4.1573 0.7731 5.6324 66.5390 5.3648 4.7836 1.0638 1.8077 13.5190 3.7631 1.2268 1.1196] geodesic_range_distances = Columns 1 through 7 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 3.9373 2.0425 9.0825 2.4376 Columns 15 through 21 7.6382 5.2743 2.4884 5.9394 6.4106 4.5048 8.5818 Columns 22 through 28 4.1573 0.7731 5.6324 66.5390 5.3648 4.7836 1.0638 Columns 29 through 33 1.8077 13.5190 3.7631 1.2268 1.1196 f_acc = Columns 1 through 7 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 54.6565 1.2928 1.2746 2.6863 Columns 15 through 21 0.8739 1.5279 1.3545 74.7847 0.8480 42.0939 2.4249 Columns 22 through 28 2.0779 3.6942 1.7973 40.5555 1.3480 19.6757 1.7100 Columns 29 through 32 1.4792 19.1125 1.6120 3.2134 false false_pairs=[ 8.9540 15.2974 18.4045 1.6315 21.8417 6.4735 24.3217 16.7613 5.0341 61.0000 11.4370 4.1029 10.1061 10.7175 12.9088 0.5922 4.8783 6.7059 6.5645 7.1793 6.5493 1.7297] geodesic_range_distances = Columns 1 through 7 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 8.9540 15.2974 18.4045 1.6315 Columns 15 through 21 21.8417 6.4735 24.3217 16.7613 5.0341 61.0000 11.4370 Columns 22 through 28 4.1029 10.1061 10.7175 12.9088 0.5922 4.8783 6.7059 Columns 29 through 32 6.5645 7.1793 6.5493 1.7297 f_acc = Columns 1 through 7 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 7.6245 24.4645 15.6495 9.6634 Columns 15 through 21 23.0318 1.7375 18.3449 5.1343 8.7307 45.6735 44.4861 Columns 22 through 28 5.8257 16.1262 13.4065 16.8141 7.2210 85.0941 14.4974 Columns 29 through 32 7.5185 6.3209 3.7128 4.8117 Making a More Stable Classifier 3-D only (no texture) methods a comobination of geodesic, geodesic-Eucinean, and purely Eucliean criteria (not photometric, but srface-based only). In additional, several PCA-based critria are available, but they have not been combined yet and they measure range images or their derivatives very sparsely (the curse of dimensionality in PCA limits this considerably and makes it less pragmatic).. combining these different criteria, excepting the weaker ones that do not help much in determining the outcome. false true true_pairs=[0.0685 0.0581 0.0750 0.0566 0.1196 0.0643 0.0517 0.0582 0.0360 0.0990 0.0851 0.1186 0.0544 0.0457 0.0678 0.0690 0.0650 0.0457 0.2878 0.1012 0.0685 0.0702 0.0641 0.0949 0.0780 0.0822 0.0656 0.0692 0.1194 0.0689 0.0911 0.1067 0.1316 0.0368 0.0383 0.0614 0.0622 0.0783 0.0949 0.0710 0.0929 0.0646 0.0554 0.0822 0.1175 0.0651 0.0799 0.1502 0.0851 0.1412 0.2112 0.0913 0.0709 0.0301 0.1410 0.0866 0.2358 0.1157 0.0798 0.0483 0.0697 0.0563 0.0611 0.1167 0.0477 0.0908 0.0467 0.0598 0.0729 0.0438 0.0681 0.0664 0.1282 0.0717 0.0752 0.0838 0.0568 0.1502 0.0839 0.0682 0.0799 0.0493 0.0756 0.0595 0.1067 0.0587 0.0876 0.0824 0.0454 0.0432 0.0737 0.0407 1.5155 0.1096 0.0766 0.0616 0.0436 0.0758 0.0825 0.0649 0.1227 0.0765 0.0738 0.0845 0.1586 0.0732 0.0800 0.0556 0.1139 1.4044 0.0965 0.0806 0.0723 1.3969 0.1089 0.1021 0.0612 0.0603 0.0406 0.0621 0.0566 0.0790 0.0655 0.0500 0.0787 0.0445 0.0675 0.1737 0.0733 0.0855 1.4903 0.0891 1.4936 0.0576 0.0543 0.0929 0.0848 1.5006 0.0925 0.0894 0.1164 0.0784 1.4383 0.0427 0.0451] geodesic_range_distances = 1.0e+03 * Columns 1 through 7 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 0.0685 0.0581 0.0750 0.0566 Columns 15 through 21 0.1196 0.0643 0.0517 0.0582 0.0360 0.0990 0.0851 Columns 22 through 28 0.1186 0.0544 0.0457 1.3432 0.0678 0.0690 0.0650 Columns 29 through 35 0.0457 0.2878 0.1012 0.0685 0.0702 0.0641 0.0949 Columns 36 through 42 0.0780 0.0822 0.0656 0.0692 0.1194 0.0689 0.0911 Columns 43 through 49 0.1067 0.1316 0.0368 0.0383 0.0614 0.0622 0.0783 Columns 50 through 56 0.0949 0.0710 0.0929 0.0646 0.0554 0.0822 0.1175 Columns 57 through 59 0.0651 0.0799 0.1502 0.0851 0.1412 0.2112 0.0913 Columns 64 through 65 0.0709 0.0301 0.0735 0.0761 0.0449 0.1812 0.0712 Columns 71 through 77 0.1410 0.0866 0.2358 0.1157 0.0798 0.0483 0.0697 Columns 78 through 84 0.0563 0.0611 0.1167 0.0477 0.0908 0.0467 1.5075 Columns 85 through 91 0.0598 0.0729 0.0438 1.5536 0.0681 1.4275 0.0664 Columns 92 through 98 0.1282 0.0717 0.0752 1.5180 0.0838 0.0568 0.1502 Columns 99 through 105 0.0839 0.0682 0.0799 0.0493 1.6367 0.0756 0.0595 Columns 106 through 112 0.1067 0.0587 0.0876 0.0824 1.5697 0.0454 0.0432 Columns 113 through 119 1.6194 0.0737 0.0407 1.5155 0.1096 0.0766 1.5564 Columns 120 through 126 0.0616 0.0436 0.0758 1.4446 1.4795 0.0825 0.0649 Columns 127 through 133 0.1227 0.0765 0.0738 0.0845 0.1586 0.0732 0.0800 Columns 134 through 140 0.0556 0.1139 1.4044 0.0965 0.0806 0.0723 1.3969 Columns 141 through 147 0.1089 0.1021 0.0612 0.0603 0.0406 0.0621 0.0566 Columns 148 through 154 0.0790 0.0655 0.0500 0.0787 0.0445 0.0675 0.1737 Columns 155 through 161 0.0733 0.0855 1.4903 0.0891 1.4936 0.0576 0.0543 Columns 162 through 168 0.0929 0.0848 1.4391 1.5006 0.0925 0.0894 0.1164 Columns 169 through 173 0.0784 1.4383 1.5472 0.0427 0.0451 false 10 109 loest - once false_pairs=[0.1722 0.1436 0.3023 0.1061 0.4901 0.1203 0.5346 0.2167 0.1021 1.4285 0.1946 0.0877 0.1694 0.1604 0.1074 0.1135 0.1615 0.1267 0.1896 0.0664 0.1477 0.1119 0.3282 0.2209 0.2411 0.2030 0.1097 0.0866 0.1167 0.2899 0.1938 0.2615 0.1300 0.1468] geodesic_range_distances = 1.0e+03 * Columns 1 through 7 0 0 0 0 0 0 0 Columns 8 through 14 0 0 0 0.1722 0.1436 0.3023 0.1061 Columns 15 through 21 0.4901 0.1203 0.5346 0.2167 0.1021 1.4285 0.1946 Columns 22 through 28 0.0877 0.1694 0.1604 0.1074 0.1135 0.1615 0.1267 Columns 29 through 35 0.1896 0.0664 0.1477 0.1119 0.3282 0.2209 0.2411 Columns 36 through 42 0.2030 0.1097 0.0866 0.1167 0.2899 0.1938 1.5788 Columns 43 through 46 0.2615 1.8494 0.1300 0.1468 1:50 false_pairs=[ 0.3893 0.2967 0.6358 0.2716 0.9145 0.2257 1.1909 0.3850 0.1970 2.6265 0.4328 0.1954 0.2627 0.2741 0.1993 0.1964 0.2942 0.4139 0.3177 0.1452 0.2648 0.1847 0.8105 1.8870 0.3459 0.3086 0.2143 0.2279 0.2438 0.6194 0.3386 2.2245 0.5420 1.6637 0.2708 0.2710] true_pairs=[ 0.1641 0.1195 0.1225 0.1093 0.1521 0.1878 0.1197 0.1057 0.1162 0.1553 0.1903 0.2141 0.1350 0.1272 0.1229 0.1738 0.0955 0.1180 0.5938 0.1972 0.1416 0.2222 0.1893 0.1429 0.1778 0.1678 0.1552 0.1505 0.2845 0.1592 0.2066 0.2647 0.2839 0.0866 0.1083 0.1781 0.1452 0.1751 0.2291 0.1588 0.1535 0.1703 0.1607 0.1882 0.3089 0.1667 0.1748 0.2838 0.1224 0.2236 0.3466 ] 10:10:50 - 3 paerts true_pairs=[ 95.1328 83.5630 144.8252 127.4021 84.4483 73.6702 144.6669 66.0792 108.0502 70.6074 80.6835 120.4725 158.3566 140.0670 114.4987 133.2052 66.5367 96.4201 146.2004 122.3155 114.4987 133.2052 66.5367 96.4201 146.2004 122.3155 76.7601 166.9857 98.6557 76.3514 150.5069 101.1312 81.7577 71.3987 70.6715 ] 95.1328 83.5630 144.8252 127.4021 84.4483 73.6702 144.6669 Columns 8 through 11 66.0792 108.0502 70.6074 80.6835 120.4725 158.3566 140.0670 Columns 15 through 21 114.4987 133.2052 66.5367 96.4201 146.2004 122.3155 76.7601 Columns 22 through 28 166.9857 98.6557 76.3514 150.5069 101.1312 81.7577 71.3987 Columns 29 through 30 70.6715 false_pairs=[362.4876 155.1933 186.1889 469.5457 327.5054 236.2007 298.2508 263.6869 207.8030 229.4593 152.5221 398.8568 119.6727 392.5646 125.4502 346.5435 119.5355 126.3283 277.2290 301.6080 96.9584 266.1358 329.8935 ] Columns 1 through 8 362.4876 155.1933 186.1889 469.5457 327.5054 236.2007 298.2508 263.6869 Columns 9 through 10 207.8030 0 0 229.4593 152.5221 398.8568 119.6727 392.5646 125.4502 Columns 17 through 18 346.5435 119.5355 126.3283 277.2290 301.6080 96.9584 266.1358 329.8935 huigh res = 1.0e+03 * Columns 1 through 7 1.0619 0.3242 0.6126 1.4692 0.9085 0.7498 0.8908 Columns 8 through 14 0.7915 0.6054 0.3644 0.7447 2.8645 1.1196 0.4104 Columns 15 through 21 1.1339 0.4138 0.9754 0.3370 0.4807 3.2492 0.8516 Columns 22 through 28 0.3726 0.8946 0.9172 0.6255 0.6219 0.6338 0.9500 Columns 29 through 35 0.5355 0.4038 0.5628 0.6577 0.7699 3.6003 0.8587 Columns 36 through 42 0.6757 0.6324 0.6864 0.4896 0.8172 1.2004 2.6932 Columns 43 through 46 0.5347 1.5146 0.7200 0.8663 false_pairs= [ 1.0619 0.3242 0.6126 1.4692 0.9085 0.7498 0.8908 0.7915 0.6054 0.3644 0.7447 2.8645 1.1196 0.4104 1.1339 0.4138 0.9754 0.3370 0.4807 3.2492 0.8516 0.3726 0.8946 0.9172 0.6255 0.6219 0.6338 0.9500 0.5355 0.4038 0.5628 0.6577 0.7699 3.6003 0.8587 0.6757 0.6324 0.6864 0.4896 0.8172 1.2004 2.6932 0.5347 1.5146 0.7200 0.8663] 0.3018 0.2461 0.2828 0.3740 0.2350 0.2955 0.4567 Columns 8 through 14 0.2430 0.3207 0.2410 0.2522 0.4106 0.4997 0.4524 Columns 15 through 21 0.3187 0.4418 0.2547 0.3030 0.5032 0.3677 0.2397 Columns 22 through 28 0.4756 0.3651 0.2280 0.3109 0.3027 0.2243 0.3041 Columns 29 through 35 0.2925 0.8405 0.3091 0.3062 0.7258 0.4082 0.5998 Columns 36 through 42 0.7572 0.3683 0.3376 0.3183 0.3022 0.2716 0.3017 Columns 43 through 49 0.2764 0.7963 0.3355 0.4333 0.4604 0.6714 0.8711 Columns 50 through 56 0.5997 0.3098 0.4901 0.4026 0.5084 0.4928 0.4592 Columns 57 through 63 0.5397 0.3776 0.6025 0.2422 0.7395 0.7015 0.3578 Columns 64 through 70 0.4440 0.4442 0.4784 0.2992 0.4239 0.5814 0.3186 Columns 71 through 77 0.3247 0.3817 0.3242 0.3809 0.3864 0.3111 0.3586 Columns 78 through 84 0.3713 0.3542 0.3180 0.3003 0.3325 0.3390 0.4593 Columns 85 through 91 0.3432 0.5166 0.4311 0.3208 0.2585 0.3067 0.2297 Columns 92 through 98 0.3192 0.3421 0.2538 0.3004 0.2227 0.3613 1.1082 Columns 99 through 105 0.4340 0.5452 0.5590 0.3026 0.4393 0.4555 0.3915 Columns 106 through 112 0.6105 0.2902 0.2994 0.4558 0.3172 0.3108 0.3275 Column 113 0.4311 0.3750 0.2529 0.2834 0.4861 0.3339 0.4127 Columns 120 through 126 0.2910 0.2923 0.4336 1.2462 0.4427 0.4590 0.2166 Columns 127 through 133 0.4384 0.5519 0.4439 0.3341 0.5120 0.2495 0.3839 Columns 134 through 140 0.3689 0.2951 1.5551 0.4375 0.2686 0.3297 0.4473 Columns 141 through 147 0.3647 0.4658 0.2813 0.3184 0.2495 0.3402 0.3085 Columns 148 through 154 0.4324 0.2855 0.3561 0.4515 0.2163 0.2986 1.4684 Columns 155 through 158 0.2886 0.3539 0.3061 0.0508 true_pairs= [0.3018 0.2461 0.2828 0.3740 0.2350 0.2955 0.4567 0.2430 0.3207 0.2410 0.2522 0.4106 0.4997 0.4524 0.3187 0.4418 0.2547 0.3030 0.5032 0.3677 0.2397 0.4756 0.3651 0.2280 0.3109 0.3027 0.2243 0.3041 0.2925 0.8405 0.3091 0.3062 0.7258 0.4082 0.5998 0.7572 0.3683 0.3376 0.3183 0.3022 0.2716 0.3017 0.2764 0.7963 0.3355 0.5997 0.3098 0.4901 0.4026 0.5084 0.4928 0.4592 0.5397 0.3776 0.6025 0.2422 0.7395 0.7015 0.3578 0.4440 0.4442 0.4784 0.2992 0.4239 0.5814 0.3186 0.3247 0.3817 0.3242 0.3809 0.3864 0.3111 0.3586 0.3713 0.3542 0.3180 0.3003 0.3325 0.3390 0.4593 0.3432 0.5166 0.4311 0.3208 0.2585 0.3067 0.2297 0.3192 0.3421 0.2538 0.3004 0.2227 0.3613 1.1082 0.4340 0.5452 0.5590 0.3026 0.4393 0.4555 0.3915 0.6105 0.2902 0.2994 0.4558 0.3172 0.3108 0.3275 0.4311 0.3750 0.2529 0.2834 0.4861 0.3339 0.4127 0.2910 0.2923 0.4336 1.2462 0.4427 0.4590 0.2166 0.4384 0.5519 0.4439 0.3341 0.5120 0.2495 0.3839 0.3689 0.2951 1.5551 0.4375 0.2686 0.3297 0.4473 0.3647 0.4658 0.2813 0.3184 0.2495 0.3402 0.3085 0.4324 0.2855 0.3561 0.4515 0.2163 0.2986 1.4684 0.2886 0.3539 0.3061 0.0508] very dense: for l=2:2:100, false geodesic_range_distances = 1.0e+03 * Columns 1 through 7 3.1638 0.8128 1.8728 4.3268 2.6187 2.2975 2.5823 Columns 8 through 14 2.1717 1.9632 1.0650 2.1976 1.1334 3.2979 1.2407 Columns 15 through 18 3.4064 1.2724 2.8283 1.0122 true geodesic_range_distances = 1.0e+03 * Columns 1 through 8 0.9347 0.8509 0.7373 1.1532 0.7062 0.9391 1.3415 0.7703 Columns 9 through 16 1.1325 0.8014 0.8432 1.2167 1.4738 1.4461 0.9978 1.2846 Columns 17 through 18 0.7123 0.8083 rottaign eye true_pairs= 1.0e+03 *[3.3718 2.7976 0.5348 2.8235 2.6083 2.7512 3.9112 2.3680 3.3235 3.3418 0.4299 4.0750 3.9313 4.4389 2.0569 3.2768 3.4929 2.7919 2.8605 0.4353 2.6706 4.0838] false_pairs=1.0e+04 * [ 0.7168 0.6632 1.1729 1.3497 0.5942 1.0260 0.6001 1.0099 0.6921 0.0641 0.5519 0.0826 0.8810 0.6383] 2 eyes and nose true_pairs=[ 0.8245 0.6820 0.2184 0.9183 0.6360 0.7889 0.8780 0.6537 1.1066 0.8531 0.5364 0.9259 0.8841 1.1206 0.6513 0.8031 0.9449 0.6756 0.8523 0.4890 0.6467 1.0692 0.9221 0.6169 0.4571 0.7080 0.4718 0.9105 0.6939 2.0944 0.8717 0.7360 1.3120 0.9277 1.0778 1.2415 0.8378 0.9901 0.8544 0.8550 0.7390 0.8982 0.8517 1.2743 0.7835 0.9944 0.9294 1.6671 1.3962 1.2535 0.6711 1.0756 0.8867 0.9978 0.9122 1.1212 1.0723 0.8668 1.1631 0.7707 1.4115 0.9551 0.7991 1.0447 0.9689 1.0019 0.7507 1.0456 1.0419 0.7577 0.6757 0.7366 1.7479 0.9077 0.8304] distances = 1.0e+04 * Columns 1 through 7 0.8245 0.6820 0.2184 0.9183 0.6360 0.7889 0.8780 Columns 8 through 14 0.6537 1.1066 0.8531 0.5364 0.9259 0.8841 1.1206 Columns 15 through 21 0.6513 0.8031 0.9449 0.6756 0.8523 0.4890 0.6467 Columns 22 through 28 1.0692 0.9221 0.6169 0.4571 0.7080 0.4718 0.9105 Columns 29 through 35 0.6939 2.0944 0.8717 0.7360 1.3120 0.9277 1.0778 Columns 36 through 42 1.2415 0.8378 0.9901 0.8544 0.8550 0.7390 0.8982 Columns 43 through 49 0.8517 1.2743 0.7835 0.9944 0.9294 1.6671 1.3962 Columns 50 through 56 1.2535 0.6711 1.0756 0.8867 0.9978 0.9122 1.1212 Columns 57 through 63 1.0723 0.8668 1.1631 0.7707 1.4115 0.9551 0.7991 Columns 64 through 70 1.0447 0.9689 1.0019 0.7507 1.0456 1.0419 0.7577 Columns 71 through 76 0.6757 0.7366 1.7479 0.9077 0.8304 0.3555 false_pairs=[1.7439 0.9538 2.0696 3.2130 2.2861 1.9034 1.3686 2.0081 1.3800 0.9125 1.7558 1.0869 3.0783 1.5644 4.5692 0.9721 3.9777 1.5040 1.4354 1.3071 1.6098 1.2094 2.0826 1.6840 1.8436 1.3089 2.1095 1.6123 1.6811 1.4682 1.5308 1.1660 2.4575 1.2528 2.5417 1.5576 1.1527 1.6408 2.0770 1.8780 1.7423 1.4755 1.4550 1.6948 2.2036 2.3171] geodesic_range_distances = 1.0e+04 * Columns 1 through 8 1.7439 0.9538 2.0696 3.2130 2.2861 1.9034 1.3686 2.0081 Columns 9 through 16 1.3800 0.9125 1.7558 1.0869 3.0783 1.5644 4.5692 0.9721 Columns 17 through 24 3.9777 1.5040 1.4354 1.3071 1.6098 1.2094 2.0826 1.6840 Columns 25 through 32 1.8436 1.3089 2.1095 1.6123 1.6811 1.4682 1.5308 1.1660 Columns 33 through 40 2.4575 1.2528 2.5417 1.5576 1.1527 1.6408 2.0770 1.8780 Columns 41 through 46 1.7423 1.4755 1.4550 1.6948 2.2036 2.3171 large experiments, distances quadratic true_pairs=1.0e+05 *[ 0.3792 0.2780 0.0702 0.5113 0.2410 0.3512 0.4606 0.2480 0.6961 0.4059 0.2465 0.5009 0.4684 0.7951 0.2584 0.3663 0.5376 0.2882 0.4290 0.2046 0.2508 0.6724 0.4751 0.2311 0.1807 0.3045 0.1811 0.4824 0.2826 ] distances = 1.0e+05 * Columns 1 through 9 0.3792 0.2780 0.0702 0.5113 0.2410 0.3512 0.4606 0.2480 0.6961 Columns 10 through 18 0.4059 0.2465 0.5009 0.4684 0.7951 0.2584 0.3663 0.5376 0.2882 Columns 19 through 27 0.4290 0.2046 0.2508 0.6724 0.4751 0.2311 0.1807 0.3045 0.1811 Columns 28 through 36 0.4824 0.2826 false_pairs= 1.0e+06 *[ 0.1816 0.0933 0.2690 0.5677 0.3580 0.2056 0.1052 0.2325 0.1071 0.0775 0.1821 0.1198 0.5764 0.1329 1.1996 0.0603 0.8099 0.1313 0.1130 0.1532 0.1616 0.0896 0.3133 0.1705 0.1647 0.1068 0.2783 0.1922 0.1989 0.1263 0.1810 0.0800 0.3412 0.1412 0.3900 0.1356 0.0821 0.1944 0.2918 0.2267 0.1626 0.2073 0.1343 0.2762 0.3263 0.2942] geodesic_range_distances = 1.0e+06 * Columns 1 through 7 0.1816 0.0933 0.2690 0.5677 0.3580 0.2056 0.1052 Columns 8 through 14 0.2325 0.1071 0.0775 0.1821 0.1198 0.5764 0.1329 Columns 15 through 21 1.1996 0.0603 0.8099 0.1313 0.1130 0.1532 0.1616 Columns 22 through 28 0.0896 0.3133 0.1705 0.1647 0.1068 0.2783 0.1922 Columns 29 through 35 0.1989 0.1263 0.1810 0.0800 0.3412 0.1412 0.3900 Columns 36 through 42 0.1356 0.0821 0.1944 0.2918 0.2267 0.1626 0.2073 Columns 43 through 46 0.1343 0.2762 0.3263 0.2942 added more pairs (2/11/2011) [[[[WRONG: filter for smoothing wrong 1.0e+05 * Columns 1 through 9 0 0 0 0 0 1.2697 1.9543 1.6730 2.2347 Columns 10 through 17 1.1437 2.5070 2.1506 1.9385 4.1655 8.0069 0.6628 1.9688 1.7962 Columns 19 through 25 0.5565 3.5938 3.0888 0.5781 1.3642 0.8449 ]]]] geodesic_range_distances = 1.0e+05 * Columns 1 through 9 0 0 0 0 0 0 0 0 0 Columns 10 through 18 0 0 0 0 0 0 0.6388 1.7929 1.6400 Columns 19 through 27 0.5205 2.8693 3.1136 0.6113 1.3585 1.1736 0.6464 2.1208 1.8023 Columns 28 through 31 1.7783 0.9631 3.2576 7.0945 3.5708 0.9684 1.4994 3.0896 2.3430 Column 37 0.6092 1.4639 3.7927 0.5676 1.1730 2.4222 1.1272 3.8180 f_acc = Columns 1 through 9 0 0 0 0 0 0 0 0 0 Columns 10 through 18 0 0 0 0 0 0 12.3557 30.8690 8.9549 Columns 19 through 27 19.5669 9.3152 24.9217 13.8268 72.0504 26.0380 8.9942 7.1686 24.4758 Columns 28 through 30 6.5496 3.9809 36.3589 15.9417 14.7009 34.1029 14.1001 18.7427 12.3774 Column 37 4.0807 7.3443 25.5632 5.2589 52.8404 10.8863 32.1686 32.1686 12.5568 run two geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0.1816 0.0933 0.2690 0.5677 0.3580 0.2056 0.1052 0.2325 0.1071 Columns 10 through 18 0.0775 0.1821 0.1198 0.5764 0.1329 1.1996 0.0603 0.8099 0.1313 Columns 19 through 27 0.1130 0.1532 0.1616 0.0896 0.3133 0.1705 0.1647 0.1068 0.2783 Columns 28 through 36 0.1922 0.1989 0.1263 0.1810 0.0800 0.3412 0.1412 0.3900 0.1356 Columns 37 through 45 0.0821 0.1944 0.2918 0.2267 0.1626 0.2073 0.1343 0.2762 0.3263 Column 46 0.2942 f_acc = Columns 1 through 9 29.2381 33.1793 7.3828 15.2406 21.5065 7.2883 82.1135 41.7499 4.0081 Columns 10 through 18 41.5143 5.9965 31.9856 32.2959 15.7359 86.5286 12.8426 19.5099 7.9683 Columns 19 through 27 25.1200 136.1478 31.4585 8.2718 13.8130 9.2282 15.9078 7.5524 13.4143 Columns 28 through 36 16.7628 8.9608 10.9874 4.5517 5.5101 36.2905 99.2596 18.4905 13.6681 Columns 37 through 45 13.9174 5.6051 18.9262 5.2725 5.8718 58.6797 6.0106 8.0639 16.0077 Column 46 12.1841 false_pairs=[12.3557 30.8690 8.9549 19.5669 9.3152 24.9217 13.8268 72.0504 26.0380 8.9942 7.1686 24.4758 6.5496 3.9809 36.3589 15.9417 14.7009 34.1029 14.1001 18.7427 12.3774 4.0807 7.3443 25.5632 5.2589 52.8404 10.8863 32.1686 32.1686 12.5568 29.2381 33.1793 7.3828 15.2406 21.5065 7.2883 82.1135 41.7499 4.0081 41.5143 5.9965 31.9856 32.2959 15.7359 86.5286 12.8426 19.5099 7.9683 25.1200 136.1478 31.4585 8.2718 13.8130 9.2282 15.9078 7.5524 13.4143 16.7628 8.9608 10.9874 4.5517 5.5101 36.2905 99.2596 18.4905 13.6681 13.9174 5.6051 18.9262 5.2725 5.8718 58.6797 6.0106 8.0639 16.0077 12.1841] false_pairs= [1.0e+05 * [ 0.6388 1.7929 1.6400 0.5205 2.8693 3.1136 0.6113 1.3585 1.1736 0.6464 2.1208 1.8023 1.7783 0.9631 3.2576 7.0945 3.5708 0.9684 1.4994 3.0896 2.3430 0.6092 1.4639 3.7927 0.5676 1.1730 2.4222 1.1272 3.8180], 1.0e+06 * [ 0.1816 0.0933 0.2690 0.5677 0.3580 0.2056 0.1052 0.2325 0.1071 0.0775 0.1821 0.1198 0.5764 0.1329 1.1996 0.0603 0.8099 0.1313 0.1130 0.1532 0.1616 0.0896 0.3133 0.1705 0.1647 0.1068 0.2783 0.1922 0.1989 0.1263 0.1810 0.0800 0.3412 0.1412 0.3900 0.1356 0.0821 0.1944 0.2918 0.2267 0.1626 0.2073 0.1343 0.2762 0.3263 0.2942]] true 1.0e+05 * Columns 151 through 175 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.3118 0.4797 0.2792 0.2355 0.2902 0.2710 0.3572 6.7128 0.4666 0.3806 Columns 176 through 200 0.1690 0.5252 0.3234 0.3689 0.3819 0.3892 0.4348 0.5098 0.3252 0.4744 0.4837 0.6247 0.3899 2.0884 0.3274 0.2979 0.8131 0.5842 0.2524 0.5012 0.9539 1.1127 0.3864 0.2756 0.4652 Columns 201 through 225 0.4340 0.2532 0.4926 0.2620 0.4865 0.3392 0.8151 0.3848 0.9959 0.4844 0.8737 0.4452 0.1945 0.2952 0.4368 0.4957 0.4586 0.3585 0.7159 0.3082 0.3664 0.4777 0.8277 1.0233 0.1859 Columns 226 through 250 0.1953 0.4725 0.1662 0.2255 0.4926 0.5094 0.0934 0.2134 0.2210 0.2686 0.1941 0.3113 0.6721 0.3180 0.6604 0.9755 1.0567 0.1881 0.5000 0.5011 1.9368 0.3781 0.3317 0.2695 0.4951 Columns 251 through 275 0.5177 0.2772 0.5654 1.4436 0.2417 1.3385 0.6660 0.4786 0.2388 0.2893 0.6226 0.5429 0.3112 0.3093 0.3175 0.5039 0.4740 0.4150 0.4111 0.3794 0.2974 0.4098 0.3602 0.4848 0.5204 Columns 276 through 300 0.3945 0.3272 0.3269 0.5208 0.2794 0.3714 1.5957 0.6107 0.2619 0.7865 0.5657 0.3116 0.2233 0.2906 0.7214 0.3244 0.4695 0.8473 0.8352 0.4975 0.9584 0.3303 1.1562 0.7492 0.1612 Columns 301 through 322 0.2022 0.4644 0.9307 0.2494 0.2374 0.2882 0.3060 0.3953 0.7038 0.0614 0.2667 0.4058 1.3887 0.2094 0.5324 0.4087 0.7035 0.4508 0.3247 0.3706 0.3465 0.2811 Columns 326 through 350 0.1784 0.2877 6.6700 0.7345 3.5101 0.3350 0.2466 0.6109 1.1143 0.4578 1.3318 0.4902 1.8086 0.3444 0.9645 1.1786 0.7953 0.3578 0.5485 0.2716 0.4907 0.5604 0.1785 1.1930 0.4659 Columns 351 through 375 0.4470 0.3101 0.5207 0.6004 0.7308 0.3478 0.2511 0.3367 0.9157 0.2000 0.4703 0.3376 1.2917 0.3550 0.2076 0.2923 0.5302 0.1858 0.2479 0.6018 0.3683 0.3463 0.2931 0.4671 0.4914 Columns 376 through 400 0.3088 0.3258 0.4101 0.4859 0.4682 0.6582 0.2432 0.8064 0.2690 0.3604 0.4331 0.5814 0.6177 0.4922 0.5087 0.1902 0.8991 0.8360 0.3348 0.3186 0.7591 0.2490 0.4762 0.3490 0.3938 Columns 401 through 416 0.4165 0.3214 0.2594 0.3181 0.7468 0.3002 0.5390 6.6004 0.3643 0.8146 0.7488 0.2663 0.8097 1.1942 0.4142 0.4273 STRESS 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.4047 2.0188 5.2450 2.1915 3.1938 3.6468 3.8306 31.7797 1.4879 1.4098 Columns 176 through 200 32.3860 1.0147 10.4289 8.1847 5.0505 2.8514 3.7080 11.7981 93.2305 35.4566 111.4983 2.7431 1.6755 6.9861 0.8691 2.2704 43.4658 6.2954 39.4980 4.6250 69.4103 1.7453 1.4863 1.1331 7.3810 Columns 201 through 225 32.5985 6.3785 4.6911 14.9416 6.4450 1.9144 2.9057 2.5455 2.6000 1.6858 0.8560 13.2793 48.7804 2.5942 8.1107 7.6310 7.4480 4.4619 10.9577 2.2201 1.8779 6.4066 6.4945 1.4046 0.6980 Columns 226 through 250 83.8083 1.0037 36.3436 2.1102 2.8244 5.3271 2.6478 38.5254 1.9718 2.2063 80.4978 1.6113 6.7253 3.1978 17.2834 7.8837 5.0640 51.9830 5.4805 8.1732 5.8645 3.0271 4.1071 1.4087 6.2698 Columns 251 through 275 1.6540 28.0229 14.8121 63.0556 11.8505 5.5266 80.6247 2.1124 50.9556 1.6508 1.2753 1.6122 3.1555 1.9081 0.7555 2.6804 1.8124 3.4018 4.2290 23.2531 2.3060 4.3551 25.1474 63.2085 7.4922 Columns 276 through 300 2.0185 82.5837 82.0489 13.9352 21.8771 83.6655 23.9856 7.0188 35.6146 6.5110 155.8968 29.9222 238.9257 1.3302 6.3432 1.1514 0.9424 8.3452 10.5496 162.5222 6.6430 0.9026 3.2834 2.0083 6.0864 Columns 301 through 322 3.7518 115.6443 24.9603 1.7671 6.4090 1.8010 6.8669 1.2403 41.7027 12.5708 262.4981 4.9293 1.8102 10.1518 5.7380 8.6668 2.3167 4.5234 5.0347 2.9608 2.6657 4.3591 Columns 326 through 350 31.2873 62.3245 59.8133 7.0454 21.4551 10.8625 3.7477 109.3947 4.0154 4.9158 7.2822 2.4899 195.0793 3.2872 31.8081 6.0567 19.5063 1.6257 1.2971 4.3903 1.3569 2.8698 41.1561 17.2185 1.0109 Columns 351 through 375 3.1583 1.6167 4.6829 2.0975 19.3132 3.1514 0.8872 1.6806 5.2271 1.3708 1.5303 2.0330 2.3484 5.6970 111.8177 8.0187 0.9216 25.2399 3.3889 5.8406 2.2580 2.5061 0.7236 1.2143 2.6431 Columns 376 through 400 3.6306 4.3325 37.3018 1.7363 0.9498 1.9691 17.7745 10.0798 2.6435 1.6667 1.4099 57.0237 5.3430 109.9162 6.1302 60.1589 45.6941 1.3437 7.1775 35.6075 21.3204 5.8813 4.5348 1.7311 1.5412 Columns 401 through 416 3.7020 125.4653 5.8360 8.3648 2.7971 17.7984 25.5666 47.0972 6.7822 1.6945 90.6961 2.9905 5.9500 1.8576 8.7905 6.4677 true_pairs=1.0e+05 * [ 0.3118 0.4797 0.2792 0.2355 0.2902 0.2710 0.3572 6.7128 0.4666 0.3806 0.1690 0.5252 0.3234 0.3689 0.3819 0.3892 0.4348 0.5098 0.3252 0.4744 0.4837 0.6247 0.3899 2.0884 0.3274 0.2979 0.8131 0.5842 0.2524 0.5012 0.9539 1.1127 0.3864 0.2756 0.4652 0.4340 0.2532 0.4926 0.2620 0.4865 0.3392 0.8151 0.3848 0.9959 0.4844 0.8737 0.4452 0.1945 0.2952 0.4368 0.4957 0.4586 0.3585 0.7159 0.3082 0.3664 0.4777 0.8277 1.0233 0.1859 0.1953 0.4725 0.1662 0.2255 0.4926 0.5094 0.0934 0.2134 0.2210 0.2686 0.1941 0.3113 0.6721 0.3180 0.6604 0.9755 1.0567 0.1881 0.5000 0.5011 1.9368 0.3781 0.3317 0.2695 0.4951 0.5177 0.2772 0.5654 1.4436 0.2417 1.3385 0.6660 0.4786 0.2388 0.2893 0.6226 0.5429 0.3112 0.3093 0.3175 0.5039 0.4740 0.4150 0.4111 0.3794 0.2974 0.4098 0.3602 0.4848 0.5204 0.3945 0.3272 0.3269 0.5208 0.2794 0.3714 1.5957 0.6107 0.2619 0.7865 0.5657 0.3116 0.2233 0.2906 0.7214 0.3244 0.4695 0.8473 0.8352 0.4975 0.9584 0.3303 1.1562 0.7492 0.1612 0.2022 0.4644 0.9307 0.2494 0.2374 0.2882 0.3060 0.3953 0.7038 0.0614 0.2667 0.4058 1.3887 0.2094 0.5324 0.4087 0.7035 0.4508 0.3247 0.3706 0.3465 0.2811 0.1784 0.2877 6.6700 0.7345 3.5101 0.3350 0.2466 0.6109 1.1143 0.4578 1.3318 0.4902 1.8086 0.3444 0.9645 1.1786 0.7953 0.3578 0.5485 0.2716 0.4907 0.5604 0.1785 1.1930 0.4659 0.4470 0.3101 0.5207 0.6004 0.7308 0.3478 0.2511 0.3367 0.9157 0.2000 0.4703 0.3376 1.2917 0.3550 0.2076 0.2923 0.5302 0.1858 0.2479 0.6018 0.3683 0.3463 0.2931 0.4671 0.4914 0.3088 0.3258 0.4101 0.4859 0.4682 0.6582 0.2432 0.8064 0.2690 0.3604 0.4331 0.5814 0.6177 0.4922 0.5087 0.1902 0.8991 0.8360 0.3348 0.3186 0.7591 0.2490 0.4762 0.3490 0.3938 0.4165 0.3214 0.2594 0.3181 0.7468 0.3002 0.5390 6.6004 0.3643 0.8146 0.7488 0.2663 0.8097 1.1942 0.4142 0.4273] true_pairs=1.0e+05 * [0.1784 0.2877 6.6700 0.7345 3.5101 0.3350 0.2466 0.6109 1.1143 0.4578 1.3318 0.4902 1.8086 0.3444 0.9645 1.1786 0.7953 0.3578 0.5485 0.2716 0.4907 0.5604 0.1785 1.1930 0.4659 0.4470 0.3101 0.5207 0.6004 0.7308 0.3478 0.2511 0.3367 0.9157 0.2000 0.4703 0.3376 1.2917 0.3550 0.2076 0.2923 0.5302 0.1858 0.2479 0.6018 0.3683 0.3463 0.2931 0.4671 0.4914 0.3088 0.3258 0.4101 0.4859 0.4682 0.6582 0.2432 0.8064 0.2690 0.3604 0.4331 0.5814 0.6177 0.4922 0.5087 0.1902 0.8991 0.8360 0.3348 0.3186 0.7591 0.2490 0.4762 0.3490 0.3938 0.4165 0.3214 0.2594 0.3181 0.7468 0.3002 0.5390 6.6004 0.3643 0.8146 0.7488 0.2663 0.8097 1.1942 0.4142 0.4273] plot_roc(true_pairs,false_pairs) true_pairs=[ 2.4047 2.0188 5.2450 2.1915 3.1938 3.6468 3.8306 31.7797 1.4879 1.4098 32.3860 1.0147 10.4289 8.1847 5.0505 2.8514 3.7080 11.7981 93.2305 35.4566 111.4983 2.7431 1.6755 6.9861 0.8691 2.2704 43.4658 6.2954 39.4980 4.6250 69.4103 1.7453 1.4863 1.1331 7.3810 32.5985 6.3785 4.6911 14.9416 6.4450 1.9144 2.9057 2.5455 2.6000 1.6858 0.8560 13.2793 48.7804 2.5942 8.1107 7.6310 7.4480 4.4619 10.9577 2.2201 1.8779 6.4066 6.4945 1.4046 0.6980 83.8083 1.0037 36.3436 2.1102 2.8244 5.3271 2.6478 38.5254 1.9718 2.2063 80.4978 1.6113 6.7253 3.1978 17.2834 7.8837 5.0640 51.9830 5.4805 8.1732 5.8645 3.0271 4.1071 1.4087 6.2698 1.6540 28.0229 14.8121 63.0556 11.8505 5.5266 80.6247 2.1124 50.9556 1.6508 1.2753 1.6122 3.1555 1.9081 0.7555 2.6804 1.8124 3.4018 4.2290 23.2531 2.3060 4.3551 25.1474 63.2085 7.4922 2.0185 82.5837 82.0489 13.9352 21.8771 83.6655 23.9856 7.0188 35.6146 6.5110 155.8968 29.9222 238.9257 1.3302 6.3432 1.1514 0.9424 8.3452 10.5496 162.5222 6.6430 0.9026 3.2834 2.0083 6.0864 3.7518 115.6443 24.9603 1.7671 6.4090 1.8010 6.8669 1.2403 41.7027 12.5708 262.4981 4.9293 1.8102 10.1518 5.7380 8.6668 2.3167 4.5234 5.0347 2.9608 2.6657 4.3591 31.2873 62.3245 59.8133 7.0454 21.4551 10.8625 3.7477 109.3947 4.0154 4.9158 7.2822 2.4899 195.0793 3.2872 31.8081 6.0567 19.5063 1.6257 1.2971 4.3903 1.3569 2.8698 41.1561 17.2185 1.0109 3.1583 1.6167 4.6829 2.0975 19.3132 3.1514 0.8872 1.6806 5.2271 1.3708 1.5303 2.0330 2.3484 5.6970 111.8177 8.0187 0.9216 25.2399 3.3889 5.8406 2.2580 2.5061 0.7236 1.2143 2.6431 3.6306 4.3325 37.3018 1.7363 0.9498 1.9691 17.7745 10.0798 2.6435 1.6667 1.4099 57.0237 5.3430 109.9162 6.1302 60.1589 45.6941 1.3437 7.1775 35.6075 21.3204 5.8813 4.5348 1.7311 1.5412 3.7020 125.4653 5.8360 8.3648 2.7971 17.7984 25.5666 47.0972 6.7822 1.6945 90.6961 2.9905 5.9500 1.8576 8.7905 6.4677] figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0061_033_20050913122529_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0063_034_20050913122456_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0064_035_20050913095124_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0059_032_20050913114044_Range.png') true_pairs= 1.0e+05 *[ 0.6866 0.5438 0.5909 0.3261 0.6511 0.5996 0.3440 0.3703 0.3130 2.0522 0.4869 0.3940 0.3477 0.3907 0.5967 0.4694 0.7984 0.3423 0.4377 0.3064 0.5440 0.5887 0.5646 0.6885 0.2524 0.2717 0.1950 0.2893 0.3789 0.4121 0.2521 0.3939 0.1607 0.2250 2.1143 0.5056 0.5960 0.6419 0.4243 0.2844 0.6049 0.2456 0.6131 0.2621 0.4438 0.5463 0.0870 0.2545 0.3458 0.2791 0.3251 0.4887 0.1561 0.2805 0.2908 0.2522 0.4435 0.2627 0.4580 1.9824 0.2054 0.4982 0.2508 0.2508 0.6676 0.4513 0.3781 0.5714 0.3247 0.3174 0.3547 0.3055 0.4644 1.6252 0.3076 0.5441 0.2980 0.2534 0.6636 0.3892 0.3683 0.3381 0.2753 0.3340 0.2457 0.4089 0.3198 0.3782 0.4322 0.3428 0.2807 4.4960 0.4540 0.3274 0.1611 0.2988 0.4293 0.2028 0.3361 0.3508 0.5002 0.1811 2.4832 0.3263 0.7458 0.2781 0.3647 0.2069 0.2831 0.3070 0.3704 8.3183 0.4666 0.3806 0.1690 0.5252 0.3234 0.3689 0.3819 0.3892 0.4348 0.5098 0.3252 0.4744 0.4837 0.6247 0.3899 0.102] reduced (for compexison to no smoothing): true_pairs= 1.0e+05 *[ 0.2508 0.6676 0.4513 0.3781 0.5714 0.3247 0.3174 0.3547 0.3055 0.4644 1.6252 0.3076 0.5441 0.2980 0.2534 0.6636 0.3892 0.3683 0.3381 0.2753 0.3340 0.2457 0.4089 0.3198 0.3782 0.4322 0.3428 0.2807 4.4960 0.4540 0.3274 0.1611 0.2988 0.4293 0.2028 0.3361 0.3508 0.5002 0.1811 2.4832 0.3263 0.7458 0.2781 0.3647 0.2069 0.2831] image 103 true_pairs= 1.0e+05 *[ 0.4666 0.3806 0.1690 0.5252 0.3234 0.3689 0.3819 0.3892 0.4348 0.5098 0.3252 0.4744 0.4837 0.6247 0.3899] false_pairs= 1.0e+05 * geodesic_range_distances = 1.0e+05 * Columns 1 through 9 0.3792 0.2780 0.0702 0.5113 0.2410 0.3512 0.4606 0.2480 0.6961 Columns 10 through 18 0.4059 0.2465 0.5009 0.4684 0.7951 0.2584 0.3663 0.5376 0.2882 Columns 19 through 27 0.4290 0.2046 0.2508 0.6724 0.4751 0.2311 0.1807 0.3045 0.1811 Columns 28 through 36 0.4824 0.2826 2.3644 0.4414 0.3453 1.2745 0.5078 0.6989 1.0064 Columns 37 through 45 0.4225 0.5631 0.4125 0.4097 0.3156 0.4827 0.4199 1.0381 0.3495 Columns 46 through 54 0.5881 0.5402 1.7084 1.1598 0.9017 0.2809 0.7076 0.4643 0.5882 Columns 55 through 63 0.4982 0.7060 0.7270 0.4335 0.8286 0.3334 1.2060 0.5529 0.3722 Columns 64 through 72 0.6866 0.5438 0.5909 0.3261 0.6511 0.5996 0.3440 0.3703 0.3130 Columns 73 through 81 2.0522 0.4869 0.3940 0.3477 0.3907 0.5967 0.4694 0.7984 0.3423 Columns 82 through 90 0.4377 0.3064 0.5440 0.5887 0.5646 0.6885 0.2524 0.2717 0.1950 Columns 91 through 99 0.2893 0.3789 0.4121 0.2521 0.3939 0.1607 0.2250 2.1143 0.5056 Columns 100 through 108 0.5960 0.6419 0.4243 0.2844 0.6049 0.2456 0.6131 0.2621 0.4438 Columns 109 through 117 0.5463 0.0870 0.2545 0.3458 0.2791 0.3251 0.4887 0.1561 0.2805 Columns 118 through 126 0.2908 0.2522 0.4435 0.2627 0.4580 1.9824 0.2054 0.4982 0.2508 Columns 127 through 133 0.6676 0.4513 0.3781 0.5714 0.3247 0.3174 0.3547 Columns 134 through 140 0.3055 0.4644 1.6252 0.3076 0.5441 0.2980 0.2534 Columns 141 through 147 0.6636 0.3892 0.3683 0.3381 0.2753 0.3340 0.2457 Columns 148 through 154 0.4089 0.3198 0.3782 0.4322 0.3428 0.2807 4.4960 Columns 155 through 161 0.4540 0.3274 0.1611 0.2988 0.4293 0.2028 0.3361 Columns 162 through 168 0.3508 0.5002 0.1811 2.4832 0.3263 0.7458 0.2781 Columns 169 through 175 0.3647 0.2069 0.2831 0.3070 0.3704 8.3183 0.4666 Columns 176 through 182 0.3806 0.1690 0.5252 0.3234 0.3689 0.3819 0.3892 Columns 183 through 189 0.4348 0.5098 0.3252 0.4744 0.4837 0.6247 0.3899 ] figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0539_103_20050912173229_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0536_101_20050913205511_Range.png') smoothing disabled false_pairs=1.0e+06 * [0.2352 0.1791 0.3498 0.5808 0.3499 0.2470 0.1569 0.2726 0.1432 0.1299 0.2702 0.1500 0.6267 0.1398 1.0589 0.0617 0.9376 0.1856 0.1661 0.2387 0.2112 0.1076 0.4002 0.1828 0.2199 0.1262 0.3321 0.2810 0.2518 0.1445 0.1990 0.1237 0.3974 0.2693 0.3809 0.1612 0.0756 0.3275 0.3772 0.3520 0.1480 0.3434 0.1771 0.4245 0.3481 0.2649] 1.0e+06 * Columns 1 through 9 0.2352 0.1791 0.3498 0.5808 0.3499 0.2470 0.1569 0.2726 0.1432 Columns 10 through 18 0.1299 0.2702 0.1500 0.6267 0.1398 1.0589 0.0617 0.9376 0.1856 Columns 19 through 27 0.1661 0.2387 0.2112 0.1076 0.4002 0.1828 0.2199 0.1262 0.3321 Columns 28 through 36 0.2810 0.2518 0.1445 0.1990 0.1237 0.3974 0.2693 0.3809 0.1612 Columns 37 through 45 0.0756 0.3275 0.3772 0.3520 0.1480 0.3434 0.1771 0.4245 0.3481 Column 46 0.2649 f_acc = Columns 1 through 9 18.5025 5.3077 13.8384 37.1289 23.1382 15.2007 5.0096 41.5458 14.0199 Columns 10 through 18 11.0950 12.3195 22.9338 7.7992 25.5749 30.1285 4.8031 63.5997 8.5043 Columns 19 through 27 212.5534 10.9980 15.9431 6.8556 14.8015 12.4984 40.9498 9.6225 12.1188 Columns 28 through 36 38.8579 13.8515 34.5664 45.9940 5.4798 86.3125 17.2821 21.7888 12.5170 Columns 37 through 45 19.1073 23.2995 11.0706 30.0931 219.1808 11.8652 10.8795 14.3811 24.4621 Column 46 19.8664 true_pairs=1.0e+05 *[0.3547 0.6052 0.5590 0.5165 0.2267 0.2888 0.3653 0.3807 0.2291 0.4819 4.7260 0.4592 0.5072 0.3809 0.7515 1.3129 0.4488 0.5023 0.4595 0.1852 0.4788 0.1952 0.5258 0.3692 0.3593 0.4450 0.3738 0.2752 5.4195 0.4728 0.2326 0.5031 0.3189 0.4992 0.3094 0.3223 0.4350 0.4507 0.3121 2.7827 0.3622 0.9331 0.2688 0.3548 0.3751 0.4166] 1.0e+05 * 9 0 0 0 0 0 0 0 Columns 120 through 126 0 0 0 0 0 0 0.3547 Columns 127 through 133 0.6052 0.5590 0.5165 0.2267 0.2888 0.3653 0.3807 Columns 134 through 140 0.2291 0.4819 4.7260 0.4592 0.5072 0.3809 0.7515 Columns 141 through 147 1.3129 0.4488 0.5023 0.4595 0.1852 0.4788 0.1952 Columns 148 through 154 0.5258 0.3692 0.3593 0.4450 0.3738 0.2752 5.4195 Columns 155 through 161 0.4728 0.2326 0.5031 0.3189 0.4992 0.3094 0.3223 Columns 162 through 168 0.4350 0.4507 0.3121 2.7827 0.3622 0.9331 0.2688 Columns 169 through 171 0.3548 0.3751 0.4166 geodesic_range_distances = 1.0e+05 * smooth_param_1=19; %usually the level/window size of smoothing false_pairs=1.0e+06 *[ 0.1888 0.0906 0.1109 0.1132 0.1005 0.1093 0.1626 0.6326 0.1174 1.2831 0.0671 0.6635 0.1000 0.1177 0.1475 0.0126 0.0752 0.3043 0.1869 0.1399 0.0868 0.2929 0.1423 0.2057 0.1106 0.0324 0.0665 0.3493 0.1305 0.3648 0.0727 0.0866 0.0333 0.2903 0.0629 0.1090 0.2562 0.1388 0.3561 ] geodesic_range_distances = 1.0e+06 * Columns 1 through 7 0 0 0 0 0 0.1888 0.0906 Columns 8 through 14 0.1109 0.1132 0.1005 0.1093 0.1626 0.6326 0.1174 Columns 15 through 21 1.2831 0.0671 0.6635 0.1000 0.1177 0.1475 0.0126 Columns 22 through 28 0.0752 0.3043 0.1869 0.1399 0.0868 0.2929 0.1423 Columns 29 through 35 0.2057 0.1106 0.0324 0.0665 0.3493 0.1305 0.3648 Columns 36 through 42 0.0727 0.0866 0.0333 0.2903 0.0629 0.1090 0.2562 Columns 43 through 45 0.1388 0.3561 true_pairs=1.0e+05 *[ 0.3051 0.3918 0.2997 0.6969 0.3868 0.4102 0.3313 0.4075 0.4355 0.2766 0.3654 0.5369 0.1472 0.3674 0.2459 0.1303 0.5605 0.5085 0.2199 0.3058 0.1841 0.2525 0.4405 0.2244 0.6817 0.5892 0.6648 0.8913 0.5421 0.4008 0.7464 0.3149 0.4637 0.2454 0.2309 0.2917 0.4190 0.3023 1.6223 0.6771] geodesic_range_distances = 1.0e+05 * Columns 1 through 9 0 0 0 0 0 0.3051 0.3918 0.2997 0.6969 Columns 10 through 18 0.3868 0.4102 0.3313 0.4075 0.4355 0.2766 0.3654 0.5369 0.1472 Columns 19 through 27 0.3674 0.2459 0.1303 0.5605 0.5085 0.2199 0.3058 0.1841 0.2525 Columns 28 through 36 0.4405 0.2244 0.6817 0.5892 0.6648 0.8913 0.5421 0.4008 0.7464 Columns 37 through 45 0.3149 0.4637 0.2454 0.2309 0.2917 0.4190 0.3023 1.6223 0.6771 doiwn to rsolution 1,000 (no errors in eyes), GMDS and gedesics false geodesic_range_distances = 1.0e+05 * Columns 1 through 9 1.8780 3.6709 2.5459 3.7381 1.5535 3.0672 1.6904 5.4082 1.0091 Columns 10 through 18 1.2926 1.3334 6.2554 2.3177 1.6007 1.0020 0.7461 3.6109 1.1535 Columns 19 through 27 1.3251 0.8651 2.2107 2.3021 1.7456 2.2533 1.1901 1.3150 1.3191 Columns 28 through 36 0.9276 2.9892 2.0683 3.6847 3.3400 1.8325 1.2959 3.3080 1.7356 Columns 37 through 45 1.3182 1.4105 2.0626 2.3988 1.3417 0.8693 0.8102 1.0583 1.4845 Column 46 0.9148 f_acc = Columns 1 through 9 6.9912 37.7545 11.9628 73.1787 8.3686 11.7540 11.6773 27.6924 5.6181 Columns 10 through 18 5.4075 4.4281 23.8479 5.4943 42.9898 52.9598 7.0404 12.7333 3.8698 Columns 19 through 27 6.9889 2.9096 20.3332 57.7463 63.6127 10.4542 10.3268 9.0636 10.8666 Columns 28 through 36 7.5109 5.4814 78.8666 13.5545 12.3605 7.7479 8.0706 8.0703 9.6947 Columns 37 through 45 18.2773 18.5204 9.6816 93.9827 8.3993 54.7938 3.7077 6.7338 9.2176 Column 46 7.5910 false_pairs=1.0e+05 *[1.8780 3.6709 2.5459 3.7381 1.5535 3.0672 1.6904 5.4082 1.0091 1.2926 1.3334 6.2554 2.3177 1.6007 1.0020 0.7461 3.6109 1.1535 1.3251 0.8651 2.2107 2.3021 1.7456 2.2533 1.1901 1.3150 1.3191 0.9276 2.9892 2.0683 3.6847 3.3400 1.8325 1.2959 3.3080 1.7356 1.3182 1.4105 2.0626 2.3988 1.3417 0.8693 0.8102 1.0583 1.4845 0.9148] false_pairs=[6.9912 37.7545 11.9628 73.1787 8.3686 11.7540 11.6773 27.6924 5.6181 5.4075 4.4281 23.8479 5.4943 42.9898 52.9598 7.0404 12.7333 3.8698 6.9889 2.9096 20.3332 57.7463 63.6127 10.4542 10.3268 9.0636 10.8666 7.5109 5.4814 78.8666 13.5545 12.3605 7.7479 8.0706 8.0703 9.6947 18.2773 18.5204 9.6816 93.9827 8.3993 54.7938 3.7077 6.7338 9.2176 7.5910] f_acc = 6.9912 37.7545 11.9628 73.1787 8.3686 11.7540 11.6773 27.6924 5.6181 Columns 289 through 297 0 0 0 0 0 0 0 0 0 Columns 298 through 306 0 0 0 45.9705 76.6756 1.6701 2.1612 75.3952 4.9377 Column 307 2.2578 true 1.0e+05 * Columns 298 through 306 0 0 0 0.5739 0.6478 1.1592 0.4659 0.4845 0.5706 Columns 307 through 315 0.5809 0.6138 1.1031 0.5044 0.5827 0.5450 1.5667 0.4055 0.7547 Columns 316 through 324 0.6115 0.8797 0.8712 0.6562 0.6707 0.5810 0.4819 0.5580 0.4925 Columns 325 through 333 1.0860 0.5516 0.5534 6.6866 1.0164 3.7529 0.9187 0.5359 0.9669 Columns 334 through 342 1.1279 0.6957 1.6735 0.6534 2.9566 0.5820 3.0157 1.5187 1.1344 Columns 343 through 351 0.6186 0.7605 0.4764 0.6744 0.8166 0.4719 1.4188 0.6397 0.5994 Columns 352 through 360 0.6116 0.8193 0.8744 1.1017 0.5214 0.4369 0.5508 1.0311 0.4275 Columns 361 through 369 0.6045 0.4958 1.5952 0.6070 0.4898 0.4468 0.7519 0.4369 0.4601 Columns 370 through 378 0.8401 0.5609 0.5112 0.4714 0.6462 0.7334 0.6038 0.5517 0.6139 Columns 379 through 387 0.7924 0.6066 0.8998 0.5348 1.0569 0.4529 0.5571 0.7816 0.8473 Columns 388 through 396 0.8865 0.6131 0.7516 0.8266 1.2616 1.2113 0.6104 0.9409 0.9474 Columns 397 through 405 0.5933 0.7644 0.5839 0.6848 0.7697 0.6424 0.5024 0.5586 0.9305 Columns 406 through 414 0.7954 1.0508 6.8493 0.7173 1.1083 0.9211 0.5213 1.0353 1.3821 Columns 415 through 423 0.5626 0.6077 0.8124 0.4827 0.7814 0.5448 0.5382 0.6917 0.6578 figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0877_111_20050913193308_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0878_111_20050913194142_Range.png') 5 figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0894_112_20050913181937_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0895_112_20050913182129_Range.png') 1.5 { FINE: figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0884_112_20050913163931_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0885_112_20050913164858_Range.png') } 3 figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0898_112_20050913190328_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0899_112_20050913190742_Range.png') figure imshow('') figure imshow('') true_pairs = 1.0e+05 *[0.5739 0.6478 1.1592 0.4659 0.4845 0.5706 0.5809 0.6138 1.1031 0.5044 0.5827 0.5450 1.5667 0.4055 0.7547 0.6115 0.8797 0.8712 0.6562 0.6707 0.5810 0.4819 0.5580 0.4925 1.0860 0.5516 0.5534 6.6866 1.0164 3.7529 0.9187 0.5359 0.9669 1.1279 0.6957 1.6735 0.6534 2.9566 0.5820 3.0157 1.5187 1.1344 0.6186 0.7605 0.4764 0.6744 0.8166 0.4719 1.4188 0.6397 0.5994 0.6116 0.8193 0.8744 1.1017 0.5214 0.4369 0.5508 1.0311 0.4275 0.6045 0.4958 1.5952 0.6070 0.4898 0.4468 0.7519 0.4369 0.4601 0.8401 0.5609 0.5112 0.4714 0.6462 0.7334 0.6038 0.5517 0.6139 0.7924 0.6066 0.8998 0.5348 1.0569 0.4529 0.5571 0.7816 0.8473 0.8865 0.6131 0.7516 0.8266 1.2616 1.2113 0.6104 0.9409 0.9474 0.5933 0.7644 0.5839 0.6848 0.7697 0.6424 0.5024 0.5586 0.9305 0.7954 1.0508 6.8493 0.7173 1.1083 0.9211 0.5213 1.0353 1.382 0.5626 0.6077 0.8124 0.4827 0.7814 0.5448 0.5382 0.6917 0.6578] f_acc = Columns 1 through 9 0 0 0 0 0 0 0 0 0 Columns 10 through 18 0 0 0 0 0 0 0 0 0 Columns 19 through 27 0 0 0 0 0 0 0 0 0 Columns 28 through 36 0 0 0 0 0 0 0 0 0 Columns 37 through 45 0 0 0 0 0 0 0 0 0 Columns 46 through 54 0 0 0 0 0 0 0 0 0 Columns 55 through 63 0 0 0 0 0 0 0 0 0 Columns 64 through 72 0 0 0 0 0 0 0 0 0 Columns 73 through 81 0 0 0 0 0 0 0 0 0 Columns 82 through 90 0 0 0 0 0 0 0 0 0 Columns 91 through 99 0 0 0 0 0 0 0 0 0 Columns 100 through 108 0 0 0 0 0 0 0 0 0 Columns 109 through 117 0 0 0 0 0 0 0 0 0 Columns 118 through 126 0 0 0 0 0 0 0 0 0 Columns 127 through 135 0 0 0 0 0 0 0 0 0 Columns 136 through 144 0 0 0 0 0 0 0 0 0 Columns 145 through 153 0 0 0 0 0 0 0 0 0 Columns 154 through 162 0 0 0 0 0 0 0 0 0 Columns 163 through 171 0 0 0 0 0 0 0 0 0 Columns 172 through 180 0 0 0 0 0 0 0 0 0 Columns 181 through 189 0 0 0 0 0 0 0 0 0 Columns 190 through 198 0 0 0 0 0 0 0 0 0 Columns 199 through 207 0 0 0 0 0 0 0 0 0 Columns 208 through 216 0 0 0 0 0 0 0 0 0 Columns 217 through 225 0 0 0 0 0 0 0 0 0 Columns 226 through 234 0 0 0 0 0 0 0 0 0 Columns 235 through 243 0 0 0 0 0 0 0 0 0 Columns 244 through 252 0 0 0 0 0 0 0 0 0 Columns 253 through 261 0 0 0 0 0 0 0 0 0 Columns 262 through 270 0 0 0 0 0 0 0 0 0 Columns 271 through 279 0 0 0 0 0 0 0 0 0 Columns 280 through 288 0 0 0 0 0 0 0 0 0 Columns 289 through 297 0 0 0 0 0 0 0 0 0 Columns 298 through 306 0 0 0 45.9705 76.6756 1.6701 2.1612 75.3952 4.9377 Columns 307 through 315 2.2578 4.3443 71.4591 2.1144 2.1076 2.0467 1.3737 3.7658 6.5378 Columns 316 through 324 3.7628 2.9532 4.7730 6.2092 9.5294 2.5611 1.8190 13.7861 1.2825 Columns 325 through 333 4.2507 2.1210 2.7643 45.6901 93.5611 10.6856 6.1865 5.9368 6.1287 Columns 334 through 342 4.0757 4.9419 3.7180 92.2522 14.1192 5.5722 27.2282 3.4806 9.6992 Columns 343 through 351 6.3725 7.1230 4.5409 5.4452 7.3452 1.5904 70.0749 1.8358 3.1379 Columns 352 through 360 1.8563 5.3253 3.0938 4.3721 3.0144 2.8662 3.1620 1.6906 8.1762 Columns 361 through 369 3.9680 3.1973 4.0640 4.5794 2.0130 2.6492 2.1580 2.9171 2.5959 Columns 370 through 378 1.5604 3.1341 2.8771 46.9011 1.1459 4.8131 1.8730 3.6014 3.2179 Columns 379 through 387 3.1494 3.1916 3.0638 3.0880 11.0630 5.7923 7.1033 10.0090 3.4485 Columns 388 through 396 5.7942 9.5611 4.3648 7.9364 9.9694 3.3750 3.4761 3.1437 6.5393 Columns 397 through 405 2.4525 12.8121 2.8194 118.5299 5.9955 5.5468 3.1974 3.0616 6.2122 Columns 406 through 414 3.7223 31.4561 59.9386 7.8758 9.5333 8.9974 18.9570 3.7821 8.1841 Columns 415 through 423 5.8770 8.7843 6.0588 2.4836 5.5399 2.1570 7.8651 3.3066 3.0079 true_pairs=[45.9705 76.6756 1.6701 2.1612 75.3952 4.9377 2.2578 4.3443 71.4591 2.1144 2.1076 2.0467 1.3737 3.7658 6.5378 3.7628 2.9532 4.7730 6.2092 9.5294 2.5611 1.8190 13.7861 1.2825 4.2507 2.1210 2.7643 45.6901 93.5611 10.6856 6.1865 5.9368 6.1287 4.0757 4.9419 3.7180 92.2522 14.1192 5.5722 27.2282 3.4806 9.6992 6.3725 7.1230 4.5409 5.4452 7.3452 1.5904 70.0749 1.8358 3.1379 1.8563 5.3253 3.0938 4.3721 3.0144 2.8662 3.1620 1.6906 8.1762 3.9680 3.1973 4.0640 4.5794 2.0130 2.6492 2.1580 2.9171 2.5959 1.5604 3.1341 2.8771 46.9011 1.1459 4.8131 1.8730 3.6014 3.2179 3.1494 3.1916 3.0638 3.0880 11.0630 5.7923 7.1033 10.0090 3.4485 5.7942 9.5611 4.3648 7.9364 9.9694 3.3750 3.4761 3.1437 6.5393 2.4525 12.8121 2.8194 118.5299 5.9955 5.5468 3.1974 3.0616 6.2122 3.7223 31.4561 59.9386 7.8758 9.5333 8.9974 18.9570 3.7821 8.1841 5.8770 8.7843 6.0588 2.4836 5.5399 2.1570 7.8651 3.3066 3.0079] =================== resolution 2500 true 8 geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0 0 0 0 0 0 0 0 0 Columns 10 through 18 0 0 0 0 0 0 0 0 0 Columns 19 through 27 0 0 0 0 0 0 0 0 0 Columns 28 through 36 0 0 0 0 0 0 0 0 0 Columns 37 through 45 0 0 0 0 0 0 0 0 0 Columns 46 through 54 0 0 0 0 0 0 0 0 0 Columns 55 through 63 0 0 0 0 0 0 0 0 0 Columns 64 through 72 0 0 0 0 0 0 0 0 0 Columns 73 through 81 0 0 0 0 0 0 0 0 0 Columns 82 through 90 0 0 0 0 0 0 0 0 0 Columns 91 through 99 0 0 0 0 0 0 0 0 0 Columns 100 through 108 0 0 0 0 0 0 0 0 0 Columns 109 through 117 0 0 0 0 0 0 0 0 0 Columns 118 through 126 0 0 0 0 0 0 0 0 0 Columns 127 through 135 0 0 0 0 0 0 0 0 0 Columns 136 through 144 0 0 0 0 0 0 0 0 0 Columns 145 through 153 0 0 0 0 0 0 0 0 0 Columns 154 through 162 0 0 0 0 0 0 0 0 0 Columns 163 through 171 0 0 0 0 0 0 0 0 0 Columns 172 through 180 0 0 0 0 0 0 0 0 0 Columns 181 through 189 0 0 0 0 0 0 0 0 0 Columns 190 through 198 0 0 0 0 0 0 0 0 0 Columns 199 through 207 0 0 0 0 0 0 0 0 0 Columns 208 through 216 0 0 0 0 0 0 0 0 0 Columns 217 through 225 0 0 0 0 0 0 0 0 0 Columns 226 through 234 0 0 0 0 0 0 0 0 0 Columns 235 through 243 0 0 0 0 0 0 0 0 0 Columns 244 through 252 0 0 0 0 0 0 0 0 0 Columns 253 through 261 0 0 0 0 0 0 0 0 0 Columns 262 through 270 0 0 0 0 0 0 0 0 0 Columns 271 through 279 0 0 0 0 0 0 0 0 0 Columns 280 through 288 0 0 0 0 0 0 0 0 0 Columns 289 through 297 0 0 0 0 0 0 0 0 0 Columns 298 through 306 0 0 0 0 0 0 0 0 0 Columns 307 through 315 0 0 0 0 0 0 0 0 0 Columns 316 through 324 0 0 0 0 0 0 0 0 0 Columns 325 through 333 0 0 0 0 0 0 0 0 0 Columns 334 through 342 0 0 0 0.0273 0.0036 0.0089 0.0126 0.0086 0.0032 Columns 343 through 351 0.0052 0.0012 0.0043 0.0053 0.0018 0.0110 0.0041 3.3298 0.0029 Columns 352 through 360 1.1179 1.2000 0.0072 0.0033 1.4214 0.0032 0.0091 0.0018 0.0054 Column 361 0.0028 nose only, 360 degrress true geodesic_range_distances = 1.0e+05 * Columns 1 through 9 0 0 0 0 0 0 0.8555 0.7574 1.8572 Columns 10 through 18 0.7866 0.4780 0.9049 1.1672 1.0647 1.0944 1.1616 0.8626 0.3994 Columns 19 through 27 1.0314 1.2057 0.7142 1.6140 1.3096 0.8308 0.5540 0.6296 0.9391 Columns 28 through 36 1.0677 0.8440 1.0136 3.0187 0.7784 0.6135 1.0039 1.0641 1.3046 Columns 37 through 45 1.0468 1.8317 0.5885 0.5564 1.1902 1.6204 0.9641 1.4672 2.3652 Columns 46 through 54 0.6641 0.6453 0.4546 2.3515 1.0490 1.1726 0.4646 1.4171 0.8740 Columns 55 through 63 1.6547 1.2466 0.7987 1.5342 0.9764 0.8597 1.5028 1.8292 1.0503 Columns 64 through 72 0.9276 1.5266 1.2928 1.0829 1.9851 0.9794 0.8607 0.8378 0.8425 Columns 73 through 81 2.1053 1.4965 0.7831 1.0487 1.1501 0.5464 0.5783 0.9462 1.0103 Columns 82 through 90 0.7100 1.3946 1.2165 2.4910 1.5072 0.6407 0.9910 1.6343 0.7940 Columns 91 through 99 2.3937 0.7299 0.8759 0.7455 1.1109 0.5540 0.5371 0.9236 0.4820 Columns 100 through 102 0.9010 0.9201 0.4383 true_pairs=1.0e+05 *[ 0.8555 0.7574 1.8572 0.7866 0.4780 0.9049 1.1672 1.0647 1.0944 1.1616 0.8626 0.3994 1.0314 1.2057 0.7142 1.6140 1.3096 0.8308 0.5540 0.6296 0.9391 1.0677 0.8440 1.0136 3.0187 0.7784 0.6135 1.0039 1.0641 1.3046 1.0468 1.8317 0.5885 0.5564 1.1902 1.6204 0.9641 1.4672 2.3652 0.6641 0.6453 0.4546 2.3515 1.0490 1.1726 0.4646 1.4171 0.8740 1.6547 1.2466 0.7987 1.5342 0.9764 0.8597 1.5028 1.8292 1.0503 0.9276 1.5266 1.2928 1.0829 1.9851 0.9794 0.8607 0.8378 0.8425 2.1053 1.4965 0.7831 1.0487 1.1501 0.5464 0.5783 0.9462 1.0103 0.7100 1.3946 1.2165 2.4910 1.5072 0.6407 0.9910 1.6343 0.7940 2.3937 0.7299 0.8759 0.7455 1.1109 0.5540 0.5371 0.9236 0.4820 0.9010 0.9201 0.4383] false 1.0e+06 * Columns 1 through 9 0 0 0 0 0 0 0.3041 0.3987 0.2501 Columns 10 through 18 0.6928 1.0626 0.6376 1.1439 0.1801 2.0267 0.1585 1.4963 0.4497 Columns 19 through 27 0.2101 1.0504 0.0947 0.1457 0.1768 0.5746 0.4369 0.1435 0.5601 Columns 28 through 36 0.2989 0.2688 0.2574 0.1457 0.0993 0.2797 0.3832 1.4923 0.1247 Columns 37 through 45 0.1844 0.1175 0.1848 0.5039 0.6471 0.3404 0.4357 0.8364 0.1356 Column 46 1.2697 false_pairs= 1.0e+06 *[0.3041 0.3987 0.2501 0.6928 1.0626 0.6376 1.1439 0.1801 2.0267 0.1585 1.4963 0.4497 0.2101 1.0504 0.0947 0.1457 0.1768 0.5746 0.4369 0.1435 0.5601 0.2989 0.2688 0.2574 0.1457 0.0993 0.2797 0.3832 1.4923 0.1247 0.1844 0.1175 0.1848 0.5039 0.6471 0.3404 0.4357 0.8364 0.1356 1.2697] EYES-only: false f_acc = Columns 1 through 9 0 0 0 0 0 0 69.6184 100.9162 3.3453 Columns 10 through 18 5.4383 9.6291 45.7111 16.4704 9.3932 26.0327 2.4712 14.4458 3.8506 Columns 19 through 27 10.2363 8.6537 25.3298 7.8463 27.7766 9.4760 7.2615 6.8054 18.1399 Columns 28 through 36 11.3419 7.9597 4.5325 3.9915 5.5219 16.1572 10.8543 12.6998 9.4690 Columns 37 through 45 7.6620 4.5366 10.5753 3.0589 6.0183 27.0056 6.8494 8.2763 20.2598 Column 46 10.8137 false_pairs=[ 69.6184 100.9162 3.3453 5.4383 9.6291 45.7111 16.4704 9.3932 26.0327 2.4712 14.4458 3.8506 10.2363 8.6537 25.3298 7.8463 27.7766 9.4760 7.2615 6.8054 18.1399 11.3419 7.9597 4.5325 3.9915 5.5219 16.1572 10.8543 12.6998 9.4690 7.6620 4.5366 10.5753 3.0589 6.0183 27.0056 6.8494 8.2763 20.2598 10.8137] geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0 0 0 0 0 0 0.5855 2.0925 0.8109 Columns 10 through 18 0.6860 0.7292 0.6897 4.3949 1.1384 9.2294 0.3749 5.9426 0.8407 Columns 19 through 27 1.2904 1.4459 1.4053 0.8742 2.8281 0.9327 1.3759 0.8676 1.8777 Columns 28 through 36 1.7986 1.6011 0.8983 1.6129 0.6333 3.3119 1.2327 2.5633 1.6647 Columns 37 through 45 0.6389 1.6767 2.6305 1.6123 1.4256 1.2560 0.9480 1.9379 2.8058 Column 46 0.0000 false_pairs= 1.0e+06 * [ 0.5855 2.0925 0.8109 0.6860 0.7292 0.6897 4.3949 1.1384 9.2294 0.3749 5.9426 0.8407 1.2904 1.4459 1.4053 0.8742 2.8281 0.9327 1.3759 0.8676 1.8777 1.7986 1.6011 0.8983 1.6129 0.6333 3.3119 1.2327 2.5633 1.6647 0.6389 1.6767 2.6305 1.6123 1.4256 1.2560 0.9480 1.9379 2.8058] true geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0 0 0 0 0 0 0.3652 0.2462 0.7857 Columns 10 through 18 0.3826 0.3432 0.2975 0.3778 0.8099 0.2952 0.3489 0.5835 0.2666 Columns 19 through 27 0.4677 0.1477 0.2127 0.7686 0.5482 0.2063 0.2231 0.2496 0.1373 Columns 28 through 36 0.3635 0.3618 0.5488 0.6733 0.5793 1.0239 0.4846 0.2459 0.4526 Columns 37 through 45 0.5221 0.2748 0.2731 0.2878 0.3163 0.3127 0.2949 1.0467 0.5631 Columns 46 through 54 0.5004 0.5730 0.3041 0.5564 0.2565 0.5449 0.2615 0.6547 0.5788 Columns 55 through 63 0.4914 0.3277 0.5682 0.5215 0.4512 0.3462 1.3632 0.4767 0.5098 Columns 64 through 65 0.5767 true_pairs= 1.0e+06 * [0.3652 0.2462 0.7857 0.3826 0.3432 0.2975 0.3778 0.8099 0.2952 0.3489 0.5835 0.2666 0.4677 0.1477 0.2127 0.7686 0.5482 0.2063 0.2231 0.2496 0.1373 0.3635 0.3618 0.5488 0.6733 0.5793 1.0239 0.4846 0.2459 0.4526 0.5221 0.2748 0.2731 0.2878 0.3163 0.3127 0.2949 1.0467 0.5631 0.5004 0.5730 0.3041 0.5564 0.2565 0.5449 0.2615 0.6547 0.5788 0.4914 0.3277 0.5682 0.5215 0.4512 0.3462 1.3632 0.4767 0.5098 0.5767 ] f_acc = Columns 1 through 9 0 0 0 0 0 0 2.0235 2.4118 13.1143 Columns 10 through 18 14.0079 1.3213 0.8723 3.9376 8.5242 2.5046 2.2922 0.7076 3.2261 Columns 19 through 27 0.9202 0.7982 2.9620 68.3888 0.7456 0.6541 2.5899 0.5393 2.6288 Columns 28 through 36 3.2983 0.7013 4.2332 8.0086 1.0491 2.9634 3.2723 0.8003 2.1859 Columns 37 through 45 1.4165 2.1597 1.4660 0.9415 1.4845 1.9778 0.9063 7.3776 3.2439 Columns 46 through 54 1.1746 2.0103 4.9911 5.4444 2.1570 1.6019 1.2807 2.2582 4.3213 Columns 55 through 63 3.3409 0.8953 1.0199 3.2873 1.5578 2.0103 9.6130 2.4048 6.4456 Column 64 2.2783 true_pairs=[2.0235 2.4118 13.1143 14.0079 1.3213 0.8723 3.9376 8.5242 2.5046 2.2922 0.7076 3.2261 0.9202 0.7982 2.9620 68.3888 0.7456 0.6541 2.5899 0.5393 2.6288 3.2983 0.7013 4.2332 8.0086 1.0491 2.9634 3.2723 0.8003 2.1859 1.4165 2.1597 1.4660 0.9415 1.4845 1.9778 0.9063 7.3776 3.2439 1.1746 2.0103 4.9911 5.4444 2.1570 1.6019 1.2807 2.2582 4.3213 3.3409 0.8953 1.0199 3.2873 1.5578 2.0103 9.6130 2.4048 6.4456 2.2783] 180 degrees, all face, 2000 vertices false_pairs=[50.2798 53.3987 3.8545 42.0799 6.2987 39.2055 19.6393 13.9979 88.2226 4.8170 14.3936 8.3674 15.6861 74.8871 54.1833 6.4420 10.5863 8.3901 9.5872 8.6394 13.9585 15.2008 7.6695 5.8666 3.8094 4.7168 24.5963 76.2477 17.6676 9.8653 10.0630 4.9539 10.4869 5.8531 6.0321 50.1781 5.7228 6.3124 18.1271 11.5440] f_acc = Columns 1 through 9 0 0 0 0 0 0 50.2798 53.3987 3.8545 Columns 10 through 18 42.0799 6.2987 39.2055 19.6393 13.9979 88.2226 4.8170 14.3936 8.3674 Columns 19 through 27 15.6861 74.8871 54.1833 6.4420 10.5863 8.3901 9.5872 8.6394 13.9585 Columns 28 through 36 15.2008 7.6695 5.8666 3.8094 4.7168 24.5963 76.2477 17.6676 9.8653 Columns 37 through 45 10.0630 4.9539 10.4869 5.8531 6.0321 50.1781 5.7228 6.3124 18.1271 Column 46 11.5440 false_pairs= 1.0e+07 *[0.0987 0.2199 0.1019 0.0740 0.1718 0.1121 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 0.1071 0.1452 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.2623 0.1833 0.1887 0.1190 0.1729 0.0763 0.3223 0.1334 0.3700 0.1297 0.0777 0.1851 0.2784 0.2160 0.1547 0.1972 0.1277 0.2593 0.3097] geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0 0 0 0 0 0 0.0987 0.2199 0.1019 Columns 10 through 18 0.0740 0.1718 0.1121 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 Columns 19 through 27 0.1071 0.1452 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.2623 Columns 28 through 36 0.1833 0.1887 0.1190 0.1729 0.0763 0.3223 0.1334 0.3700 0.1297 Columns 37 through 45 0.0777 0.1851 0.2784 0.2160 0.1547 0.1972 0.1277 0.2593 0.3097 true_pairs=[ 2.3070 1.3184 6.2655 2.9503 66.5778 1.3076 2.7740 4.1696 1.8380 1.8556 1.7728 75.4476 0.9351 32.6045 1.6717 2.0962 2.5859 1.4416 30.0916 0.6023 28.2598 2.0931 2.1833 6.2263 15.3866 3.9382 0.9823 4.2940 3.1002 1.8683 83.1189 2.8908 4.4638 1.1864 0.8553 3.1914 2.6621 7.8365 4.3432 2.1461 4.2656 1.5168 9.0204 2.1420 2.5004 1.2739 1.2478 2.0948 3.1316 5.7813 1.4006 2.7684 3.5477 3.8211 7.3571 5.1255 8.2506 9.2933 2.0292 2.3267 3.1921 2.8893 4.1148 5.5440 41.8575 4.3232 3.2684 4.1180 1.4428 16.6519 1.6546 3.5028 4.3778 2.9934 2.4815 1.6821 6.1594 29.0250 2.4197 2.7996 52.9963 23.8182 2.0092 35.1755 1.7092 2.8984 2.7239 33.4867 46.1279 1.1460 1.7170 1.6677 2.2479 4.2577 3.6110 3.6047 46.9304 2.7353 1.0747 1.5354 5.0544 3.3811 78.4980 44.4854 1.7963 2.8814 37.5672 2.0000 2.8455 9.7059 2.0966 88.0859 2.2400 1.4224 4.2444 2.1580 21.0984 3.5052 4.3249 1.7986 1.3156 2.8161 2.7422 2.2362 4.3495 4.8490 4.0322 5.4469 46.4039 3.1855 5.6510 3.1491 1.6989 3.2144 39.4901 1.9060 1.9178 3.5971 1.3374 3.5101 1.0649 4.4342 6.2124 1.8799 3.2707 3.8265 3.8456 20.1757 7.8094 117.1704 37.2215 59.6243 54.1488 7.1695 1.7439 2.9456 4.7706 13.9326 43.5352 2.3848 2.5465 2.6037 0.9964 2.4092 1.7986 1.8523 26.3394 1.8822 1.1310 32.8233 1.4757 7.5553 4.9622 2.4798 2.3480 1.9624 7.0649 80.9350 21.7005 75.3083 2.5226 1.5572 3.8818] Columns 1 through 9 0 0 0 0 0 0 2.3070 1.3184 6.2655 Columns 10 through 18 2.9503 66.5778 1.3076 2.7740 4.1696 1.8380 1.8556 1.7728 75.4476 Columns 19 through 27 0.9351 32.6045 1.6717 2.0962 2.5859 1.4416 30.0916 0.6023 28.2598 Columns 28 through 36 2.0931 2.1833 6.2263 15.3866 3.9382 0.9823 4.2940 3.1002 1.8683 Columns 37 through 45 83.1189 2.8908 4.4638 1.1864 0.8553 3.1914 2.6621 7.8365 4.3432 Columns 46 through 54 2.1461 4.2656 1.5168 9.0204 2.1420 2.5004 1.2739 1.2478 2.0948 Columns 55 through 63 3.1316 5.7813 1.4006 2.7684 3.5477 3.8211 7.3571 5.1255 8.2506 Columns 64 through 72 9.2933 2.0292 2.3267 3.1921 2.8893 4.1148 5.5440 41.8575 4.3232 Columns 73 through 81 3.2684 4.1180 1.4428 16.6519 1.6546 3.5028 4.3778 2.9934 2.4815 Columns 82 through 90 1.6821 6.1594 29.0250 2.4197 2.7996 52.9963 23.8182 2.0092 35.1755 Columns 91 through 99 1.7092 2.8984 2.7239 33.4867 46.1279 1.1460 1.7170 1.6677 2.2479 Columns 100 through 108 4.2577 3.6110 3.6047 46.9304 2.7353 1.0747 1.5354 5.0544 3.3811 Columns 109 through 117 78.4980 44.4854 1.7963 2.8814 37.5672 2.0000 2.8455 9.7059 2.0966 Columns 118 through 126 88.0859 2.2400 1.4224 4.2444 2.1580 21.0984 3.5052 4.3249 1.7986 Columns 127 through 135 1.3156 2.8161 2.7422 2.2362 4.3495 4.8490 4.0322 5.4469 46.4039 Columns 136 through 144 3.1855 5.6510 3.1491 1.6989 3.2144 39.4901 1.9060 1.9178 3.5971 Columns 145 through 153 1.3374 3.5101 1.0649 4.4342 6.2124 1.8799 3.2707 3.8265 3.8456 Columns 154 through 162 20.1757 7.8094 117.1704 37.2215 59.6243 54.1488 7.1695 1.7439 2.9456 Columns 163 through 171 4.7706 13.9326 43.5352 2.3848 2.5465 2.6037 0.9964 2.4092 1.7986 Columns 172 through 180 1.8523 26.3394 1.8822 1.1310 32.8233 1.4757 7.5553 4.9622 2.4798 Columns 181 through 189 2.3480 1.9624 7.0649 80.9350 21.7005 75.3083 2.5226 1.5572 3.8818 true_pairs= 1.0e+06 *[ 0.4329 0.2369 0.6620 0.3828 0.2322 0.4752 0.4438 0.7534 0.2454 0.3453 0.5128 0.2728 0.4070 0.1913 0.2383 0.6420 0.4524 0.2147 0.1688 0.2871 0.1684 0.4609 0.2676 0.6132 0.7418 0.7166 0.9398 0.4842 0.3180 0.5948 0.5032 0.4274 0.2281 0.2209 0.2517 0.3656 0.3404 1.3849 0.6062 0.5410 0.6806 0.3569 0.9364 0.5066 0.5641 0.3022 0.6385 0.5483 0.4509 0.4263 0.4887 0.5707 0.4456 0.4039 1.3184 0.5279 0.6189 0.5987 1.9706 0.2674 0.2750 0.7807 0.3445 0.5693 0.1612 0.6208 0.8258 0.5426 0.6411 0.7603 0.3183 0.2378 0.4245 0.3935 0.4119 0.1901 0.6051 0.3390 0.3930 0.3108 0.2679 0.1984 0.4063 0.2702 0.6999 0.3462 0.3360 0.1776 0.2166 0.2380 0.1821 0.3684 0.2342 0.3908 0.6037 0.3221 0.1608 0.6233 0.2945 0.5661 0.3779 0.3346 0.1445 0.3149 0.5087 0.2230 0.3295 0.2337 0.4291 0.2526 0.3730 0.1849 0.4651 0.3710 0.3038 0.4409 1.5510 0.2777 0.5232 0.5771 0.3791 0.4680 0.5653 0.2442 0.3583 0.2785 0.4107 0.5119 1.8224 0.4225 0.3550 0.3146 0.3991 0.3418 0.2369 0.2925 0.5054 0.3948 0.2881 0.2635 0.2310 0.3374 0.3778 0.2865 0.3766 0.2147 0.3049 4.5567 0.2190 0.2855 0.1694 0.3737 0.1513 0.3607 0.3390 0.6718 0.4842 0.1916 2.7919 0.2966 0.4579 0.2656 0.2241 0.2740 0.2554 0.3385 6.3742 0.4418 0.3606 0.1608 0.5012 0.3045 0.3493 0.3642 0.3701 0.4116 0.4768 0.3082 0.4562 0.4562 0.5950 0.3704 2.0064 0.3077] geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0 0 0 0 0 0 0.4329 0.2369 0.6620 Columns 10 through 18 0.3828 0.2322 0.4752 0.4438 0.7534 0.2454 0.3453 0.5128 0.2728 Columns 19 through 27 0.4070 0.1913 0.2383 0.6420 0.4524 0.2147 0.1688 0.2871 0.1684 Columns 28 through 36 0.4609 0.2676 0.6132 0.7418 0.7166 0.9398 0.4842 0.3180 0.5948 Columns 37 through 45 0.5032 0.4274 0.2281 0.2209 0.2517 0.3656 0.3404 1.3849 0.6062 Columns 46 through 54 0.5410 0.6806 0.3569 0.9364 0.5066 0.5641 0.3022 0.6385 0.5483 Columns 55 through 63 0.4509 0.4263 0.4887 0.5707 0.4456 0.4039 1.3184 0.5279 0.6189 Columns 64 through 72 0.5987 1.9706 0.2674 0.2750 0.7807 0.3445 0.5693 0.1612 0.6208 Columns 73 through 81 0.8258 0.5426 0.6411 0.7603 0.3183 0.2378 0.4245 0.3935 0.4119 Columns 82 through 90 0.1901 0.6051 0.3390 0.3930 0.3108 0.2679 0.1984 0.4063 0.2702 Columns 91 through 99 0.6999 0.3462 0.3360 0.1776 0.2166 0.2380 0.1821 0.3684 0.2342 Columns 100 through 108 0.3908 0.6037 0.3221 0.1608 0.6233 0.2945 0.5661 0.3779 0.3346 Columns 109 through 117 0.1445 0.3149 0.5087 0.2230 0.3295 0.2337 0.4291 0.2526 0.3730 Columns 118 through 126 0.1849 0.4651 0.3710 0.3038 0.4409 1.5510 0.2777 0.5232 0.5771 Columns 127 through 135 0.3791 0.4680 0.5653 0.2442 0.3583 0.2785 0.4107 0.5119 1.8224 Columns 136 through 144 0.4225 0.3550 0.3146 0.3991 0.3418 0.2369 0.2925 0.5054 0.3948 Columns 145 through 153 0.2881 0.2635 0.2310 0.3374 0.3778 0.2865 0.3766 0.2147 0.3049 Columns 154 through 162 4.5567 0.2190 0.2855 0.1694 0.3737 0.1513 0.3607 0.3390 0.6718 Columns 163 through 171 0.4842 0.1916 2.7919 0.2966 0.4579 0.2656 0.2241 0.2740 0.2554 Columns 172 through 180 0.3385 6.3742 0.4418 0.3606 0.1608 0.5012 0.3045 0.3493 0.3642 Columns 181 through 189 0.3701 0.4116 0.4768 0.3082 0.4562 0.4562 0.5950 0.3704 2.0064 Columns 190 through 191 0.3077 upping penalty false_pairs= 1.0e+07 * [ 0.1716 0.0938 0.2552 0.5322 0.3416 0.1968 0.0987 0.2199 0.1019 0.0790 0.1718 0.1171 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 0.1071 0.1502 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.2623 0.1833 0.1887 0.1190 0.1729 0.0763 0.3223 0.1384 0.3700 0.1297 0.0777 0.1851 0.2784 0.2160 0.1547 0.2022 0.1277 0.2643 ] geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0.1716 0.0938 0.2552 0.5322 0.3416 0.1968 0.0987 0.2199 0.1019 Columns 10 through 18 0.0790 0.1718 0.1171 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 Columns 19 through 27 0.1071 0.1502 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.2623 Columns 28 through 36 0.1833 0.1887 0.1190 0.1729 0.0763 0.3223 0.1384 0.3700 0.1297 Columns 37 through 45 0.0777 0.1851 0.2784 0.2160 0.1547 0.2022 0.1277 0.2643 0.3097 f_acc = Columns 1 through 9 35.6389 36.0989 7.8349 14.0768 18.1052 8.0694 50.2798 53.3987 3.8545 Columns 10 through 18 42.0799 6.2987 39.2055 19.6393 13.9979 88.2226 4.8170 14.3936 8.3674 Columns 19 through 27 15.6861 74.8871 54.1833 6.4420 10.5863 8.3901 9.5872 8.6394 13.9585 Columns 28 through 36 15.2008 7.6695 5.8666 3.8094 4.7168 24.5963 76.2477 17.6676 9.8653 Columns 37 through 45 10.0630 4.9539 10.4869 5.8531 6.0321 50.1781 5.7228 6.3124 18.1271 Column 46 11.5440 true_pairs= 1.0e+06 * [ 0.3621 0.2618 0.1606 0.4848 0.2282 0.3355 0.4329 0.2369 0.6620 0.3828 0.2821 0.4752 0.4438 0.7534 0.2454 0.3453 0.5128 0.2728 0.4070 0.2412 0.2383 0.6420 0.4524 0.2147 0.2188 0.2871 0.2183 0.4609 0.2676 0.6132 0.7418 0.7166 0.9398 0.4842 0.3180 0.5948 0.5032 0.4274 0.2281 0.2209 0.2517 0.3656 0.3404 1.3849 0.6062 0.5410 0.6806 0.3569 0.9364 0.5066 0.5641 0.3022 0.6385 0.5483 0.4509 0.4263 0.4887 0.5707 0.4456 0.4039 1.3184 0.5279 0.6189 0.5987 1.9706 0.2674 0.2750 0.7807 0.3445 0.5693 0.2111 0.6208 0.8258 0.5426 0.6411 0.7603 0.3183 0.2378 0.4245 0.3935 0.4119 0.1901 0.6051 0.3890 0.3930 0.3108 0.2679 0.2483 0.4063 0.3202 0.6999 0.3462 0.3360 0.2276 0.2665 0.2380 0.1821 0.2342 0.3908 0.6037 0.3221 0.2107 0.6233 0.5661 0.3779 0.3346 ] geodesic_range_distances = 1.0e+06 * Columns 1 through 7 0.3621 0.2618 0.1606 0.4848 0.2282 0.3355 0.4329 Columns 8 through 14 0.2369 0.6620 0.3828 0.2821 0.4752 0.4438 0.7534 Columns 15 through 21 0.2454 0.3453 0.5128 0.2728 0.4070 0.2412 0.2383 Columns 22 through 28 0.6420 0.4524 0.2147 0.2188 0.2871 0.2183 0.4609 Columns 29 through 35 0.2676 0.6132 0.7418 0.7166 0.9398 0.4842 0.3180 Columns 36 through 42 0.5948 0.5032 0.4274 0.2281 0.2209 0.2517 0.3656 Columns 43 through 49 0.3404 1.3849 0.6062 0.5410 0.6806 0.3569 0.9364 Columns 50 through 56 0.5066 0.5641 0.3022 0.6385 0.5483 0.4509 0.4263 Columns 57 through 63 0.4887 0.5707 0.4456 0.4039 1.3184 0.5279 0.6189 Columns 64 through 70 0.5987 1.9706 0.2674 0.2750 0.7807 0.3445 0.5693 Columns 71 through 77 0.2111 0.6208 0.8258 0.5426 0.6411 0.7603 0.3183 Columns 78 through 84 0.2378 0.4245 0.3935 0.4119 0.1901 0.6051 0.3890 Columns 85 through 91 0.3930 0.3108 0.2679 0.2483 0.4063 0.3202 0.6999 Columns 92 through 98 0.3462 0.3360 0.2276 0.2665 0.2380 0.1821 0.3684 Columns 99 through 105 0.2342 0.3908 0.6037 0.3221 0.2107 0.6233 0.2945 Columns 106 through 109 0.5661 0.3779 0.3346 f_acc = Columns 1 through 7 3.1270 2.0204 27.1405 1.9166 1.0367 76.8493 2.3070 Columns 8 through 14 1.3184 6.2655 2.9503 66.5778 1.3076 2.7740 4.1696 Columns 15 through 21 1.8380 1.8556 1.7728 75.4476 0.9351 32.6045 1.6717 Columns 22 through 28 2.0962 2.5859 1.4416 30.0916 0.6023 28.2598 2.0931 Columns 29 through 35 2.1833 6.2263 15.3866 3.9382 0.9823 4.2940 3.1002 Columns 36 through 42 1.8683 83.1189 2.8908 4.4638 1.1864 0.8553 3.1914 Columns 43 through 49 2.6621 7.8365 4.3432 2.1461 4.2656 1.5168 9.0204 Columns 50 through 56 2.1420 2.5004 1.2739 1.2478 2.0948 3.1316 5.7813 Columns 57 through 63 1.4006 2.7684 3.5477 3.8211 7.3571 5.1255 8.2506 Columns 64 through 70 9.2933 2.0292 2.3267 3.1921 2.8893 4.1148 5.5440 Columns 71 through 77 41.8575 4.3232 3.2684 4.1180 1.4428 16.6519 1.6546 Columns 78 through 84 3.5028 4.3778 2.9934 2.4815 1.6821 6.1594 29.0250 Columns 85 through 91 2.4197 2.7996 52.9963 23.8182 2.0092 35.1755 1.7092 Columns 92 through 98 2.8984 2.7239 33.4867 46.1279 1.1460 1.7170 1.6677 Columns 99 through 105 2.2479 4.2577 3.6110 3.6047 46.9304 2.7353 1.0747 Columns 106 through 108 1.5354 5.0544 3.3811 down to 1000 (from 2000) local_stress_sum = 1.0e+06 * Columns 1 through 7 0.2105 0.1533 0.4612 0.1626 0.1068 3.8077 0.2812 Columns 8 through 14 4.3989 0.1722 0.2660 0.3622 0.2030 0.1617 0.2999 Columns 15 through 21 0.0917 0.1206 0.1500 0.4490 0.2136 0.1999 0.2916 Columns 22 through 28 2.8934 0.0956 0.2546 0.1523 0.1440 0.1520 0.1536 Columns 29 through 35 0.1070 0.5171 0.5666 0.0968 0.2467 0.4715 0.4795 Columns 36 through 42 0.3486 0.1773 0.1893 0.1231 0.3281 0.1306 0.1398 Columns 43 through 49 0.5178 0.5861 0.6026 0.5241 0.5917 0.1361 0.5337 Columns 50 through 56 0.1092 0.1347 0.1235 0.1268 0.2196 0.1673 0.1042 Columns 57 through 63 0.2353 0.1529 0.6249 0.1522 0.2259 0.4705 0.2371 Columns 64 through 70 0.1242 0.1254 0.1802 0.1968 0.3725 0.4755 0.3338 Columns 71 through 77 0.3562 0.3393 0.3937 0.1395 0.2629 0.1807 0.1686 Columns 78 through 84 0.3131 0.1770 4.2191 0.6715 0.1080 0.1941 0.2411 Columns 85 through 91 0.1689 0.3167 0.3607 0.2350 0.2075 3.3175 0.1714 Columns 92 through 98 0.2693 0.1440 0.1920 0.1816 0.2618 0.2903 0.3253 Columns 99 through 105 0.1195 0.4144 0.5510 0.2825 0.1513 0.3558 0.1417 Columns 106 through 112 0.5250 0.1243 0.1539 0.2937 0.5875 0.2488 0.1215 Columns 113 through 119 0.2993 0.2395 0.0817 0.2124 0.1696 0.5795 0.1670 Columns 120 through 126 0.4236 0.1629 0.3775 3.9478 0.1612 0.2924 0.3139 Columns 127 through 133 0.3064 1.0508 0.2704 0.3303 4.6229 0.2122 0.2377 Columns 134 through 140 0.6379 2.5018 0.1181 1.0281 0.1835 0.5737 0.5035 Columns 141 through 143 0.2133 0.3235 0.5405 f_acc = Columns 1 through 7 3.3676 2.4526 7.3792 2.6012 1.7089 60.9236 4.4998 Columns 8 through 14 70.3825 2.7560 4.2555 5.7959 3.2484 2.5867 4.7976 Columns 15 through 21 1.4678 1.9294 2.4004 7.1847 3.4172 3.1980 4.6648 Columns 22 through 28 46.2943 1.5302 4.0739 2.4363 2.3046 2.4324 2.4583 Columns 29 through 35 1.7123 8.2733 9.0649 1.5490 3.9471 7.5439 7.6717 Columns 36 through 42 5.5773 2.8366 3.0292 1.9695 5.2488 2.0900 2.2361 Columns 43 through 49 8.2849 9.3775 9.6412 8.3855 9.4678 2.1768 8.5391 Columns 50 through 56 1.7475 2.1550 1.9754 2.0284 3.5141 2.6767 1.6680 Columns 57 through 63 3.7644 2.4469 9.9981 2.4346 3.6147 7.5275 3.7936 Columns 64 through 70 1.9875 2.0071 2.8833 3.1492 5.9602 7.6083 5.3403 Columns 71 through 77 5.6988 5.4284 6.2996 2.2314 4.2062 2.8912 2.6972 Columns 78 through 84 5.0092 2.8315 67.5061 10.7445 1.7284 3.1054 3.8575 Columns 85 through 91 2.7021 5.0670 5.7716 3.7602 3.3195 53.0803 2.7421 Columns 92 through 98 4.3084 2.3037 3.0727 2.9049 4.1889 4.6450 5.2048 Columns 99 through 105 1.9127 6.6309 8.8167 4.5198 2.4213 5.6931 2.2667 Columns 106 through 112 8.3994 1.9894 2.4623 4.6997 9.3997 3.9802 1.9444 Columns 113 through 119 4.7894 3.8319 1.3078 3.3977 2.7134 9.2713 2.6722 Columns 120 through 126 6.7773 2.6062 6.0392 63.1645 2.5790 4.6778 5.0218 Columns 127 through 133 4.9027 16.8123 4.3271 5.2842 73.9669 3.3952 3.8038 Columns 134 through 140 10.2056 40.0281 1.8899 16.4497 2.9355 9.1792 8.0553 Columns 141 through 143 3.4133 5.1758 8.6486 geodesic_range_distances = true_pairs=1.0e+06 * [ 0.6468 0.5843 0.3892 0.6895 0.4954 0.5815 0.5497 0.4504 0.8109 0.6551 0.6921 0.7390 0.6315 1.0235 0.4844 0.5628 0.6517 0.4540 0.7568 0.4812 0.4937 0.8992 0.6478 0.4230 0.6266 0.4485 0.4306 0.5793 0.4475 0.8690 1.0449 0.8760 1.2382 0.7850 0.5505 0.7777 0.6938 0.6070 0.5391 0.4277 0.4754 0.5698 0.5437 1.5206 0.8369 0.7784 1.0077 0.6340 1.1225 0.8334 0.8434 0.5519 0.9932 0.7779 0.7323 0.6423 0.7860 0.8145 0.6797 0.7227 1.6843 0.7476 0.8651 0.8546 2.4236 0.5750 0.5509 0.9898 0.6405 0.7703 0.5905 0.8917 1.0133 0.7385 0.9664 1.0081 0.5456 0.3739 0.6138 0.5702 0.7042 0.4814 0.7678 1.0547 0.6587 0.5428 0.4515 0.5677 0.6673 0.6356 0.9635 0.5869 0.4934 0.4876 0.7633 0.4855 0.4217 0.5533 0.4885 0.5576 0.7661 0.5376 0.5400 0.7972 0.4761 0.7645 0.5231 0.5160 0.4647 ] 1.0e+06 * Columns 1 through 7 0.6468 0.5843 0.3892 0.6895 0.4954 0.5815 0.5497 Columns 8 through 14 0.4504 0.8109 0.6551 0.6921 0.7390 0.6315 1.0235 Columns 15 through 21 0.4844 0.5628 0.6517 0.4540 0.7568 0.4812 0.4937 Columns 22 through 28 0.8992 0.6478 0.4230 0.6266 0.4485 0.4306 0.5793 Columns 29 through 35 0.4475 0.8690 1.0449 0.8760 1.2382 0.7850 0.5505 Columns 36 through 42 0.7777 0.6938 0.6070 0.5391 0.4277 0.4754 0.5698 Columns 43 through 49 0.5437 1.5206 0.8369 0.7784 1.0077 0.6340 1.1225 Columns 50 through 56 0.8334 0.8434 0.5519 0.9932 0.7779 0.7323 0.6423 Columns 57 through 63 0.7860 0.8145 0.6797 0.7227 1.6843 0.7476 0.8651 Columns 64 through 70 0.8546 2.4236 0.5750 0.5509 0.9898 0.6405 0.7703 Columns 71 through 77 0.5905 0.8917 1.0133 0.7385 0.9664 1.0081 0.5456 Columns 78 through 84 0.3739 0.6138 0.5702 0.7042 0.4814 0.7678 1.0547 Columns 85 through 91 0.6587 0.5428 0.4515 0.5677 0.6673 0.6356 0.9635 Columns 92 through 98 0.5869 0.4934 0.4876 0.7633 0.4855 0.4217 0.5533 Columns 99 through 105 0.4885 0.5576 0.7661 0.5376 0.5400 0.7972 0.4761 Columns 106 through 112 0.7645 0.5231 0.5160 0.4647 0.5776 0.7082 0.4634 Columns 113 through 119 0.7058 0.4201 0.6566 0.5663 0.5218 0.5719 0.6903 Columns 120 through 126 0.5657 0.5313 0.6253 3.6233 0.4342 0.7379 0.7773 Columns 127 through 133 0.5824 0.6680 0.7120 0.5787 0.6178 0.4984 0.7107 Columns 134 through 140 0.6664 4.1825 0.5668 0.5965 0.5352 0.6187 0.6277 Columns 141 through 144 0.6162 0.4394 0.6956 false f_acc = Columns 1 through 9 7.5979 8.3465 79.5279 92.0488 9.2786 9.1686 33.5408 70.1313 5.5867 Columns 10 through 18 6.3189 6.0828 8.6121 11.6094 16.6493 28.0859 2.4415 34.0657 4.0751 Columns 19 through 27 25.2700 9.9700 12.6772 2.6259 23.9382 15.4301 12.0075 5.1133 16.1770 Columns 28 through 36 9.1649 8.9969 5.7219 8.3428 8.3722 36.5148 12.6209 21.7184 13.2000 Columns 37 through 45 7.4523 9.8712 13.7703 9.9739 9.4512 10.7616 13.7239 5.4722 18.4380 geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0.1900 0.1448 0.3027 0.5524 0.3593 0.2178 0.1261 0.2244 0.1254 Columns 10 through 18 0.1391 0.1912 0.1734 0.5949 0.1636 1.1435 0.0796 0.8514 0.1518 Columns 19 through 27 0.1308 0.2430 0.1902 0.1030 0.3229 0.1775 0.1858 0.1201 0.2890 Columns 28 through 36 0.2011 0.2441 0.1354 0.2052 0.1148 0.3624 0.1998 0.3919 0.1408 Columns 37 through 45 0.1046 0.2325 0.2921 0.2738 0.1924 0.2836 0.1524 0.3350 0.3131 false_pairs= 1.0e+07 * [ 0.1900 0.1448 0.3027 0.5524 0.3593 0.2178 0.1261 0.2244 0.1254 0.1391 0.1912 0.1734 0.5949 0.1636 1.1435 0.0796 0.8514 0.1518 0.1308 0.2430 0.1902 0.1030 0.3229 0.1775 0.1858 0.1201 0.2890 0.2011 0.2441 0.1354 0.2052 0.1148 0.3624 0.1998 0.3919 0.1408 0.1046 0.2325 0.2921 0.2738 0.1924 0.2836 0.1524 0.3350 0.3131] 500 vertices false f_acc = Columns 1 through 9 82.3671 6.0063 21.5285 24.9671 11.3756 13.5647 47.8050 87.4496 13.8754 Columns 10 through 18 31.4020 18.1652 21.6265 23.2539 29.7981 98.2388 9.0283 47.2038 9.3552 Columns 19 through 27 16.9264 39.2524 29.9889 12.3721 42.6462 10.9558 8.1874 16.2549 148.7914 Columns 28 through 36 23.5126 10.3277 4.2839 13.1994 13.7826 48.7086 95.5562 17.6799 43.0295 Columns 37 through 45 31.4120 47.6206 35.9489 11.7945 70.2889 35.5130 6.3333 118.8397 99.7417 1.0e+07 * Columns 1 through 9 0.2480 0.1882 0.3517 0.5963 0.4529 0.3318 0.1698 0.3540 0.1946 Columns 10 through 18 0.1802 0.2290 0.2123 0.6297 0.2078 1.1769 0.1163 0.9155 0.2006 Columns 19 through 27 0.1908 0.2652 0.2196 0.1603 0.3707 0.2399 0.2124 0.1768 0.3476 Columns 28 through 36 0.2762 0.2647 0.1681 0.2779 0.1689 0.3919 0.3026 0.4344 0.2015 Columns 37 through 45 0.1307 0.2919 0.3595 0.3742 0.2481 0.3341 0.2413 0.3939 0.3662 Column 46 0.0000 false_pairs= 1.0e+07 * [0.2480 0.1882 0.3517 0.5963 0.4529 0.3318 0.1698 0.3540 0.1946 0.1802 0.2290 0.2123 0.6297 0.2078 1.1769 0.1163 0.9155 0.2006 0.1908 0.2652 0.2196 0.1603 0.3707 0.2399 0.2124 0.1768 0.3476 0.2762 0.2647 0.1681 0.2779 0.1689 0.3919 0.3026 0.4344 0.2015 0.1307 0.2919 0.3595 0.3742 0.2481 0.3341 0.2413 0.3939 0.3662] true f_acc = Columns 1 through 9 20.0456 6.2727 3.8994 6.2314 97.9944 5.1050 6.0745 4.8103 3.3093 Columns 10 through 18 6.8441 4.1447 4.8353 6.2701 3.0811 3.6555 2.8348 9.0251 2.7071 Columns 19 through 27 44.2396 7.0822 4.9549 10.9107 9.7058 7.8114 18.8695 5.7588 48.6729 Columns 28 through 36 2.6550 14.8536 11.0154 11.4078 2.9107 3.3128 10.1331 5.9811 3.9823 Columns 37 through 45 11.0485 14.3580 4.2429 10.3029 7.6672 4.3016 12.1369 61.7330 11.9340 Columns 46 through 54 2.5352 3.6189 20.3861 7.0747 3.6590 9.4849 16.4289 66.6003 13.3921 Columns 55 through 63 14.2582 3.9052 7.6694 2.3341 12.9319 6.8373 10.9344 2.6276 19.4282 Columns 64 through 72 2.2760 25.9893 9.0401 87.8243 4.7836 7.3515 18.4683 15.1208 14.5746 Columns 73 through 81 10.5520 3.4053 7.9819 4.3641 5.9820 7.1480 4.9950 2.2419 5.4087 Columns 82 through 90 12.1726 7.8634 8.5432 7.4186 4.7060 9.6780 21.3178 11.1642 15.9714 Columns 91 through 99 50.6115 26.1918 6.4939 3.8370 93.0450 6.5461 7.0226 10.6506 20.3362 Columns 100 through 108 58.8243 13.6178 5.7578 8.1317 10.4760 5.3789 4.4225 2.9180 13.0865 Columns 109 through 117 16.9526 12.9836 11.0575 3.1218 12.4845 5.6988 9.9019 6.9045 6.1558 Columns 118 through 126 4.1467 5.7454 5.8461 3.4084 6.9626 26.0932 89.9994 104.7388 7.8567 Columns 127 through 135 2.3771 16.2442 16.9311 9.0157 4.8882 4.1142 6.8383 3.7075 49.2988 Columns 136 through 144 7.8626 11.1243 9.3493 8.5641 4.3791 13.4920 5.1336 112.7882 2.1009 Columns 145 through 153 17.8237 9.0640 16.0011 75.0519 4.4061 21.5485 13.9008 5.8254 5.5119 Columns 154 through 162 25.7085 75.2570 5.8522 20.5270 5.4727 11.2326 21.0291 7.3848 8.9156 Columns 163 through 171 5.8630 63.6199 33.4610 9.5045 9.2231 7.0121 6.0163 8.8229 2.9991 Columns 172 through 180 3.6953 92.4460 7.2727 130.5210 67.1515 26.3532 16.0991 3.4155 12.2265 Columns 181 through 189 3.1222 26.2293 6.5388 14.7122 14.3338 17.1056 65.8753 117.7128 20.3337 Columns 190 through 198 44.5636 4.9308 85.6167 11.0590 13.9180 14.3008 6.5803 11.8098 5.5211 Columns 199 through 207 4.7109 3.5128 17.1579 9.4090 9.5841 4.4689 6.3893 91.8942 15.3935 true_pairs= 1.0e+06 * [1.0625 0.9821 1.0024 1.1672 0.9837 1.0427 1.0786 0.9946 1.4422 1.1014 1.2215 1.2896 1.0490 1.5468 1.1088 1.0440 1.1140 0.9929 1.0693 1.2696 1.0127 1.2228 1.0630 0.9511 1.1106 0.9311 0.9274 1.2775 0.8864 1.3995 1.5272 1.5021 2.1741 1.1788 1.1163 1.8088 1.1074 1.2101 0.9532 1.0136 0.9781 1.1927 1.1895 2.2810 1.8270 1.3842 1.7835 1.1710 2.0926 1.3893 1.4801 1.2357 1.3686 1.3244 1.2481 1.2838 1.3300 1.4437 1.4352 1.2573 2.5392 1.3675 1.8853 1.4392 2.8081 1.3690 1.2379 1.5452 1.1487 1.4890 0.9850 1.5826 1.4917 1.0466 1.5280 1.5754 1.1596 0.8256 1.1946 1.2151 1.1640 0.9919 1.1459 1.5841 1.2830 0.9711 1.0069 1.0207 1.3074 0.9534 1.4734 1.0823 1.0214 0.9886 1.3040 0.9956 0.8503 1.0613 0.9323 0.9486 1.1429 0.9919 1.0357 1.3751 1.0246 1.1909 0.9914 0.9424 0.8619] geodesic_range_distances = 1.0e+06 * Columns 1 through 9 1.0625 0.9821 1.0024 1.1672 0.9837 1.0427 1.0786 0.9946 1.4422 Columns 10 through 18 1.1014 1.2215 1.2896 1.0490 1.5468 1.1088 1.0440 1.1140 0.9929 Columns 19 through 27 1.0693 1.2696 1.0127 1.2228 1.0630 0.9511 1.1106 0.9311 0.9274 Columns 28 through 36 1.2775 0.8864 1.3995 1.5272 1.5021 2.1741 1.1788 1.1163 1.8088 Columns 37 through 45 1.1074 1.2101 0.9532 1.0136 0.9781 1.1927 1.1895 2.2810 1.8270 Columns 46 through 54 1.3842 1.7835 1.1710 2.0926 1.3893 1.4801 1.2357 1.3686 1.3244 Columns 55 through 63 1.2481 1.2838 1.3300 1.4437 1.4352 1.2573 2.5392 1.3675 1.8853 Columns 64 through 72 1.4392 2.8081 1.3690 1.2379 1.5452 1.1487 1.4890 0.9850 1.5826 Columns 73 through 81 1.4917 1.0466 1.5280 1.5754 1.1596 0.8256 1.1946 1.2151 1.1640 Columns 82 through 90 0.9919 1.1459 1.5841 1.2830 0.9711 1.0069 1.0207 1.3074 0.9534 Columns 91 through 99 1.4734 1.0823 1.0214 0.9886 1.3040 0.9956 0.8503 1.0613 0.9323 Columns 100 through 108 0.9486 1.1429 0.9919 1.0357 1.3751 1.0246 1.1909 0.9914 0.9424 Columns 109 through 117 0.8619 0.9495 1.3546 0.8899 1.0913 0.9475 1.0533 0.9680 1.0576 Columns 118 through 126 0.9594 1.1555 0.8810 0.8803 1.2025 3.7627 0.9130 1.1707 1.1663 Columns 127 through 135 1.1415 1.2202 1.1991 0.9457 0.8948 0.9110 1.1174 1.0067 4.1795 Columns 136 through 144 1.3256 0.9541 1.0214 1.0120 1.0300 0.9942 1.1290 1.2210 1.0823 Columns 145 through 153 1.0360 1.0128 0.9920 0.9051 1.2393 0.9607 1.0054 0.9304 0.9644 Columns 154 through 162 5.6174 0.8474 1.0929 0.8482 1.1207 1.1002 1.1454 1.0463 1.2325 Columns 163 through 171 1.1207 1.0224 3.3425 0.7162 1.3046 0.9425 0.8226 1.1701 0.9844 Columns 172 through 180 0.9585 6.7579 1.1890 1.2253 1.3421 1.7580 1.4812 1.3330 1.1074 Columns 181 through 189 1.2770 1.5428 1.4833 1.3269 1.2587 1.0509 1.3269 1.3885 3.0739 Columns 190 through 198 1.2935 1.3135 1.5755 1.7014 1.3031 1.1983 2.2307 1.7879 1.1739 Columns 199 through 207 0.7520 1.0524 1.3295 1.1766 1.5563 1.4732 1.4323 1.4327 0.0000 2700 false geodesic_range_distances = false_pairs= 1.0e+06 * [ 1.2466 0.2639 0.7007 5.3072 0.9115 1.9196 0.9130 2.1062 0.8382 0.6575 1.6873 0.6240 5.7768 1.3698 2.4685 0.3333 2.5009 0.7943 1.0880 1.5467 0.8457 0.7176 2.9317 0.5642 0.7503 0.7634 2.4691 1.6593 1.8637 0.5638 1.6646 0.3357 3.2232 0.4035 3.8300 1.2328 ] true_pairs= 1.0e+06 *[ 0.2291 0.2203 0.1490 0.2248 0.1721 0.2513 0.2479 0.2044 0.5903 0.3401 0.1547 0.3788 0.3887 0.4049 0.1995 0.2907 0.4433 0.1657 0.2093 0.1780 0.2019 0.6950 0.2319 0.1275 0.2067 0.2345 0.1525 0.3509 0.1475 0.5360 0.6164 0.5875 0.7816 0.3536 0.2397 0.3755 0.4041 0.3036 0.1901 0.1620 0.2115 0.3209 0.2408 1.4010 0.5414 0.4698 0.2124 0.2466 0.6203 0.4374 0.3700] geodesic_range_distances = 1.0e+06 * Columns 1 through 7 1.2466 0.2639 0.7007 5.3072 0.9115 1.9196 0.9130 Columns 8 through 14 2.1062 0.8382 0.6575 1.6873 0.6240 5.7768 1.3698 Columns 15 through 21 2.4685 0.3333 2.5009 0.7943 1.0880 1.5467 0.8457 Columns 22 through 28 0.7176 2.9317 0.5642 0.7503 0.7634 2.4691 1.6593 Columns 29 through 35 1.8637 0.5638 1.6646 0.3357 3.2232 0.4035 3.8300 Columns 36 through 37 1.2328 0.2678 geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0.2291 0.2203 0.1490 0.2248 0.1721 0.2513 0.2479 0.2044 0.5903 Columns 10 through 18 0.3401 0.1547 0.3788 0.3887 0.4049 0.1995 0.2907 0.4433 0.1657 Columns 19 through 27 0.2093 0.1780 0.2019 0.6950 0.2319 0.1275 0.2067 0.2345 0.1525 Columns 28 through 36 0.3509 0.1475 0.5360 0.6164 0.5875 0.7816 0.3536 0.2397 0.3755 Columns 37 through 45 0.4041 0.3036 0.1901 0.1620 0.2115 0.3209 0.2408 1.4010 0.5414 Columns 46 through 51 0.4698 0.2124 0.2466 0.6203 0.4374 0.3700 2700 vertices high density, wider range (beyong 80) true 1.0e+09 * Columns 1 through 9 0.0007 0.0007 0.0005 0.0007 3.3808 0.0008 0.0010 0.0007 0.0019 Columns 10 through 11 0.0009 false geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0.4246 0.0768 0.2660 1.9757 0.5230 0.5859 0.3039 0.7151 0.2560 Columns 10 through 18 0.2412 0.4971 0.2469 2.1886 0.4734 1.0856 0.1177 0.8849 true_pairs= 1.0e+07 * [ 0.4246 0.0768 0.2660 1.9757 0.5230 0.5859 0.3039 0.7151 0.2560 0.2412 0.4971 0.2469 2.1886 0.4734 1.0856 0.1177 0.8849 ] false_pairs= 1.0e+09 * [ 0.0007 0.0007 0.0005 0.0007 3.3808 0.0008 0.0010 0.0007 0.0019 0.0009 ] back to 2000 false geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0.0586 0.0278 0.0724 0.1813 0.1171 0.0629 0.0289 0.0675 0.0297 Columns 10 through 18 0.0266 0.0551 1.0945 0.1946 0.0384 0.3731 0.0243 0.2452 0.0364 Columns 19 through 27 0.0363 5.2945 0.0508 0.0248 0.0831 0.0510 0.0443 0.0314 0.0873 Columns 28 through 36 0.0555 0.0617 0.0358 0.0509 0.0235 0.0954 3.3763 0.1264 0.0416 Columns 37 through 45 0.0274 0.0573 0.0859 0.0708 0.0543 3.4993 0.0411 2.4491 0.0879 Column 46 0.0971 false_pairs= 1.0e+07 * [ 0.0586 0.0278 0.0724 0.1813 0.1171 0.0629 0.0289 0.0675 0.0297 0.0266 0.0551 1.0945 0.1946 0.0384 0.3731 0.0243 0.2452 0.0364 0.0363 5.2945 0.0508 0.0248 0.0831 0.0510 0.0443 0.0314 0.0873 0.0555 0.0617 0.0358 0.0509 0.0235 0.0954 3.3763 0.1264 0.0416 0.0274 0.0573 0.0859 0.0708 0.0543 3.4993 0.0411 2.4491 0.0879 0.0971] true_pairs= 1.0e+05 * [ 1.1276 0.8944 0.6197 1.7614 0.6825 1.2783 1.2741 0.8354 2.4443 1.2006 0.8459 1.3449 1.4425 1.6231 0.7351 1.0396 1.7196 0.9582 1.4439 0.9549 0.9053 2.0452 1.3657 0.7043 0.8374 1.0962 0.8712 1.4081 0.8949 1.8006 1.9638 2.4667 2.8681 1.3744 0.9770 1.7150 1.7642 1.4396 0.7667 0.6826 0.7907 1.3255 1.3607 4.1099 1.8288 1.4599 2.0668 1.1849 2.8253 1.9079 1.3552 1.2422 2.0873 1.9360 1.2620 1.8093 1.5835 2.1225 1.7745 0.8175 4.0545 2.5440 2.0511] true geodesic_range_distances = 1.0e+05 * Columns 1 through 9 1.1276 0.8944 0.6197 1.7614 0.6825 1.2783 1.2741 0.8354 2.4443 Columns 10 through 18 1.2006 0.8459 1.3449 1.4425 1.6231 0.7351 1.0396 1.7196 0.9582 Columns 19 through 27 1.4439 0.9549 0.9053 2.0452 1.3657 0.7043 0.8374 1.0962 0.8712 Columns 28 through 36 1.4081 0.8949 1.8006 1.9638 2.4667 2.8681 1.3744 0.9770 1.7150 Columns 37 through 45 1.7642 1.4396 0.7667 0.6826 0.7907 1.3255 1.3607 4.1099 1.8288 Columns 46 through 54 1.4599 2.0668 1.1849 2.8253 1.9079 1.3552 1.2422 2.0873 1.9360 Columns 55 through 63 1.2620 1.8093 1.5835 2.1225 1.7745 0.8175 4.0545 2.5440 2.0511 figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0498_101_20050913155318_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0497_101_20050913145128_Range.png') * Preparing for ICP applied to image #312 - Sorting data types - Affine registration of:/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0501_101_20050913163222_Range.png and/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0502_101_20050913164212_Range.png geodesic_range_distances = 1.0e+06 * Columns 1 through 9 1.2415 0.5555 1.6101 4.0566 2.5759 1.2950 0.6231 1.4961 0.6614 Columns 10 through 18 0.5278 1.0509 0.9718 4.1976 0.8414 8.1571 0.5006 5.2976 0.7687 Columns 19 through 27 0.8953 1.0442 1.0137 0.5120 1.8157 1.1013 0.9625 0.7831 1.9280 Columns 28 through 36 1.0649 1.2649 0.7774 1.0232 0.4937 1.9760 0.8242 2.7996 0.8880 Columns 37 through 39 0.5570 1.1076 false_pairs= 1.0e+06 * [1.2415 0.5555 1.6101 4.0566 2.5759 1.2950 0.6231 1.4961 0.6614 0.5278 1.0509 0.9718 4.1976 0.8414 8.1571 0.5006 5.2976 0.7687 0.8953 1.0442 1.0137 0.5120 1.8157 1.1013 0.9625 0.7831 1.9280 1.0649 1.2649 0.7774 1.0232 0.4937 1.9760 0.8242 2.7996 0.8880 0.5570 1.1076 ] true_pairs = 1.0e+06 * [ 0.3081 0.4495 0.2003 0.1207 0.3767 0.2082 0.4977 0.3285 0.2413 0.1036 0.2244 0.4074 0.1528 0.2044 0.1440 0.3460 0.2210 0.2691 0.1334 0.2908 0.2860 0.2403 0.2971 1.3146 0.1980 0.3934 0.4330 0.2874 0.3821 0.4394 0.1948 0.2474 0.2041 0.2826 0.3814 1.8724 0.2929 0.2862 0.1882 0.3315 0.2363 0.1607 0.2114 0.3210 0.2854 0.2134 0.1840 0.1534 0.2418 0.2729 0.1672 0.2566 0.1506 0.2110 3.1242 0.1674 0.1917 0.1089 0.2594 0.0967 0.2596 0.2207 0.5016 0.3843 0.1332 2.0644 0.2183 0.3453 0.1729 0.1568 0.1734 0.1957 0.2150 3.9373 0.3180 0.3292 0.1201 0.3798 0.2180 0.2358 0.2768 0.2628 0.3287 0.3314 0.2053 0.3174 0.2985 0.3717 0.2693 1.2723 0.2270 0.2166 0.4735 0.4115 0.1799 0.3168 0.4891 0.6538 0.2612 0.2058 0.2867 0.3775 0.1558 0.3176 0.1722 0.3167 0.2447 0.4615 0.1905 0.6474 0.2949 0.5626 0.2874 0.1894 0.1929 0.2921 0.2867 0.2811 0.2206 0.4481 0.1861 0.2654 0.3489 0.5681 0.6355 0.1321 0.1368 0.3249 0.0897 0.1571 0.4118 0.3113 0.0572 0.1152 0.1566 0.1724 0.1430 0.2608 0.4998 0.1736 0.3951 0.5558 0.6521 0.1482 0.2873 0.3642 1.1624 0.2866 0.2778 0.1530 0.3799 0.3085] geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0 0 0 0 0 0 0 0 0 Columns 10 through 18 0 0 0 0 0 0 0 0 0 Columns 19 through 27 0 0 0 0 0 0 0 0 0 Columns 28 through 36 0 0 0 0 0 0 0 0 0 Columns 37 through 45 0 0 0 0 0 0 0 0 0 Columns 46 through 54 0 0 0 0 0 0 0 0 0 Columns 55 through 63 0 0 0 0 0 0 0 0 0 Columns 64 through 72 0 0 0 0 0 0 0 0 0 Columns 73 through 81 0 0 0 0 0 0 0 0 0 Columns 82 through 90 0 0 0 0 0 0 0 0 0 Columns 91 through 99 0 0 0 0 0 0 0 0 0 Columns 100 through 108 0.3081 0.4495 0.2003 0.1207 0.3767 0.2082 0.4977 0.3285 0.2413 Columns 109 through 117 0.1036 0.2244 0.4074 0.1528 0.2044 0.1440 0.3460 0.2210 0.2691 Columns 118 through 126 0.1334 0.2908 0.2860 0.2403 0.2971 1.3146 0.1980 0.3934 0.4330 Columns 127 through 135 0.2874 0.3821 0.4394 0.1948 0.2474 0.2041 0.2826 0.3814 1.8724 Columns 136 through 144 0.2929 0.2862 0.1882 0.3315 0.2363 0.1607 0.2114 0.3210 0.2854 Columns 145 through 153 0.2134 0.1840 0.1534 0.2418 0.2729 0.1672 0.2566 0.1506 0.2110 Columns 154 through 162 3.1242 0.1674 0.1917 0.1089 0.2594 0.0967 0.2596 0.2207 0.5016 Columns 163 through 171 0.3843 0.1332 2.0644 0.2183 0.3453 0.1729 0.1568 0.1734 0.1957 Columns 172 through 180 0.2150 3.9373 0.3180 0.3292 0.1201 0.3798 0.2180 0.2358 0.2768 Columns 181 through 189 0.2628 0.3287 0.3314 0.2053 0.3174 0.2985 0.3717 0.2693 1.2723 Columns 190 through 198 0.2270 0.2166 0.4735 0.4115 0.1799 0.3168 0.4891 0.6538 0.2612 Columns 199 through 207 0.2058 0.2867 0.3775 0.1558 0.3176 0.1722 0.3167 0.2447 0.4615 Columns 208 through 216 0.1905 0.6474 0.2949 0.5626 0.2874 0.1894 0.1929 0.2921 0.2867 Columns 217 through 225 0.2811 0.2206 0.4481 0.1861 0.2654 0.3489 0.5681 0.6355 0.1321 Columns 226 through 234 0.1368 0.3249 0.0897 0.1571 0.4118 0.3113 0.0572 0.1152 0.1566 Columns 235 through 243 0.1724 0.1430 0.2608 0.4998 0.1736 0.3951 0.5558 0.6521 0.1482 Columns 244 through 251 0.2873 0.3642 1.1624 0.2866 0.2778 0.1530 0.3799 0.3085 reducing max dilation to 85 geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0.5023 0.4010 0.9088 1.3891 0.9916 0.7156 0.3647 0.6609 0.3925 Columns 10 through 18 0.1532 0.6169 0.2797 1.3863 0.3678 3.3440 0.2407 2.4754 0.4219 Columns 19 through 27 0.2917 0.3141 0.5109 0.3500 1.1086 0.4039 0.4213 0.4039 0.9281 Columns 28 through 36 0.7763 0.6413 0.5311 0.7478 0.2806 1.2244 0.5959 0.9092 0.4069 Columns 37 through 40 0.2838 0.7581 1.0355 0.0000 false_pairs= 1.0e+06 * [0.5023 0.4010 0.9088 1.3891 0.9916 0.7156 0.3647 0.6609 0.3925 0.1532 0.6169 0.2797 1.3863 0.3678 3.3440 0.2407 2.4754 0.4219 0.2917 0.3141 0.5109 ] true_pairs = 1.0e+05 * [ 1.4519 1.0613 0.2142 1.9273 0.9119 1.3485 1.3194 0.7969 2.6440 1.6466 0.8729 1.3057 1.4047 2.8779 0.7507 1.3661 1.6619 1.0601] 1.0e+05 * Columns 1 through 9 1.4519 1.0613 0.2142 1.9273 0.9119 1.3485 1.3194 0.7969 2.6440 Columns 10 through 18 1.6466 0.8729 1.3057 1.4047 2.8779 0.7507 1.3661 1.6619 1.0601 Columns 19 through 27 1.8103 0.5600 0.9228 2.5260 1.7757 0.8617 0.6480 1.1584 0.8326 Columns 28 through 35 1.8223 0.9344 2.1265 2.5837 2.5871 4.3481 1.7238 0.0001 reverting to old values geodesic_range_distances = 1.0e+06 * Columns 1 through 9 0.3621 0.2618 0.0670 0.4848 0.2282 0.3355 0.4329 0.2369 0.6620 Columns 10 through 18 0.3828 0.2353 0.4752 0.4438 0.7534 0.2454 0.3453 0.5128 0.2728 Columns 19 through 27 0.4070 0.1944 0.2383 0.6420 0.4524 0.2147 0.1720 0.2871 0.1715 Columns 28 through 36 0.4609 0.2676 0.6132 0.7418 0.7166 0.9398 0.4842 0.3180 0.5948 Columns 37 through 45 0.5032 0.4274 0.2281 0.2209 0.2517 0.3656 0.3404 1.3849 0.6062 Columns 46 through 54 0.5410 0.6806 0.3569 0.9364 0.5066 0.5641 0.3022 0.6385 0.5483 Columns 55 through 63 0.4509 0.4263 0.4887 0.5707 0.4456 0.4039 1.3184 0.5279 0.6189 Columns 64 through 72 0.5987 1.9706 0.2674 0.2750 0.7807 0.3445 0.5693 0.1643 0.6208 Columns 73 through 81 0.8258 0.5426 0.6411 0.7603 0.3183 0.2378 0.4245 0.3935 0.4119 Columns 82 through 90 0.1901 0.6051 0.3422 0.3930 0.3108 0.2679 0.2015 0.4063 0.2734 Columns 91 through 96 0.6999 0.3462 0.3360 0.1808 0.2197 figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0007_005_20050913093707_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0008_005_20050913120028_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0012_009_20050913095944_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0013_009_20050913122258_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0020_013_20050913093233_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0021_013_20050913115731_Range.png Columns 460 through 468 0 2.1081 0.5280 1.0843 0.6423 0.8086 0.4225 0.4121 0.5005 Columns 469 through 471 0.4066 0.5679 0.0000 false geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0.1716 0.0892 0.2552 0.5322 0.3416 0.1968 0.0987 0.2199 0.1019 Columns 10 through 18 0.0743 0.1718 0.1125 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 Columns 19 through 24 0.1071 0.1456 0.1537 0.0844 0.2973 ') new frameowrk Columns 460 through 468 0 2.1081 0.5280 1.0843 0.6423 0.8086 0.4225 0.4121 0.5005 Columns 469 through 477 0.4066 0.5679 0.4284 0.7155 1.5262 1.2072 0.9404 0.7460 1.0311 Columns 478 through 486 0.3333 0.7344 0.2775 0.4861 0.2066 0.6340 0.3240 0.4400 0.8313 Columns 487 through 495 0.7941 0.3659 0.1911 0.2171 0.5589 1.0715 0.2258 0.3195 1.2911 Columns 496 through 503 0.3950 0.4635 1.4932 0.8300 0.5199 1.1625 0.7253 0.0000 stances = 1.0e+07 * Columns 1 through 9 0.1716 0.1464 0.2552 0.5322 0.3416 0.1968 0.0987 0.2199 0.1019 Columns 10 through 18 0.1316 0.1718 0.1697 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 Columns 19 through 27 0.1071 0.2028 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.0000 false geodesic_range_distances = 1.0e+07 * Columns 1 through 9 0.1716 0.0903 0.2552 0.5322 0.3416 0.1968 0.0987 0.2199 0.1019 Columns 10 through 18 0.0754 0.1718 0.1136 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 Columns 19 through 27 0.1071 0.1467 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.2623 Columns 28 through 36 0.1833 0.1887 0.1190 0.1729 0.0763 0.3223 0.1348 0.3700 0.1297 Columns 37 through 45 0.0777 0.1851 0.2784 0.2160 0.1547 0.1986 0.1277 0.2608 0.3097 Column 46 false_pairs= 1.0e+07 *[0.1716 0.0903 0.2552 0.5322 0.3416 0.1968 0.0987 0.2199 0.1019 0.0754 0.1718 0.1136 0.5495 0.1274 1.1386 0.0575 0.7692 0.1252 0.1071 0.1467 0.1537 0.0844 0.2973 0.1627 0.1547 0.1017 0.2623 0.1833 0.1887 0.1190 0.1729 0.0763 0.3223 0.1348 0.3700 0.1297 0.0777 0.1851 0.2784 0.2160 0.1547 0.1986 0.1277 0.2608 0.3097] true_pairs = 1.0e+06 * [2.1081 0.5280 1.0843 0.6423 0.8086 0.4225 0.4121 0.5005 0.4066 0.5679 0.4284 0.7155 1.5262 0.0840 0.3788 0.1844 0.4695 0.3333 0.7344 0.2775 0.4861 0.2066 0.6340 0.3240 0.4400 0.8313 0.2325 0.3659 0.1911 0.2171 0.5589 0.5099 0.2258 0.3195 1.2911 0.3950 0.4635 1.4932 0.8300 0.5199 1.1625 0.7253 0.4412 0.3361 0.3494 0.6612 0.5594 0.1829 0.5582 0.212] true Columns 460 through 468 0 2.1081 0.5280 1.0843 0.6423 0.8086 0.4225 0.4121 0.5005 Columns 469 through 477 0.4066 0.5679 0.4284 0.7155 1.5262 0.0840 0.3788 0.1844 0.4695 Columns 478 through 486 0.3333 0.7344 0.2775 0.4861 0.2066 0.6340 0.3240 0.4400 0.8313 Columns 487 through 495 0.2325 0.3659 0.1911 0.2171 0.5589 0.5099 0.2258 0.3195 1.2911 Columns 496 through 504 0.3950 0.4635 1.4932 0.8300 0.5199 1.1625 0.7253 0.4412 0.3361 Columns 505 through 511 0.3494 0.6612 0.5594 0.1829 0.5582 0.2122 figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0007_005_20050913093707_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0008_005_20050913120028_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0012_009_20050913095944_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0013_009_20050913122258_Range.png') after debugging FALSE geodesic_range_distances = 1.0e+09 * Columns 1 through 9 0.0073 0.0044 0.0117 0.0238 0.0157 0.0083 0.0043 0.0090 0.0045 Columns 10 through 18 1.2059 0.0082 0.1169 0.0298 0.0060 0.0546 0.0028 0.0384 0.0054 Columns 19 through 27 0.0047 1.0899 0.0068 0.0037 0.0133 0.0080 0.0071 0.0047 0.0121 Columns 28 through 36 0.0084 0.0086 0.0054 0.0078 0.0033 0.0150 0.0059 0.0182 0.0044 Columns 37 through 41 0.0038 0.0083 0.0132 0.0111 TRUE geodesic_range_distances = 1.0e+08 * Columns 1 through 11 0.0163 0.0101 6.6228 0.0211 0.0091 0.0132 0.0198 0.0101 0.0313 0.0157 2.1818 Columns 12 through 22 0.0191 0.0183 0.0361 0.0121 0.0154 0.0224 0.0103 0.0203 3.7155 0.0112 0.0269 Columns 23 through 33 0.0200 0.0081 2.5248 0.0116 2.1258 0.0205 0.0102 0.0270 0.0390 0.0315 0.0397 Columns 34 through 44 0.0202 0.0147 0.0291 0.0195 0.0229 0.0090 0.0077 0.0096 0.0179 0.0143 0.0652 Columns 45 through 55 0.0294 0.0212 0.0301 0.0138 0.0458 0.0224 0.0244 0.0122 0.0278 0.0220 0.0209 Columns 56 through 66 0.0169 0.0234 0.0236 0.0217 0.0165 0.0591 0.0251 0.0278 0.0275 0.0866 0.0124 Columns 67 through 77 0.0128 0.0368 0.0144 0.0271 4.9312 0.0266 0.0359 0.0243 0.0277 0.0327 0.0120 Columns 78 through 88 0.0113 0.0179 0.0180 0.0194 0.0079 0.0281 0.0153 0.0190 0.0140 0.0110 0.0089 Columns 89 through 99 0.0163 0.0134 0.0321 0.0148 0.0149 0.0081 0.0110 0.0089 0.0072 0.0187 0.0095 Columns 100 through 110 0.0168 0.0264 0.0141 0.0083 0.0270 0.0129 0.0260 0.0163 0.0160 0.0085 0.0160 Columns 111 through 121 0.0231 0.0121 0.0163 0.0093 0.0205 0.0120 0.0158 0.0089 0.0184 0.0169 0.0149 Columns 122 through 132 0.0200 0.0744 0.0116 0.0256 0.0247 0.0171 0.0183 0.0275 0.0112 0.0158 0.0100 Columns 133 through 143 0.0161 0.0231 0.0748 0.0166 0.0152 0.0137 0.0188 0.0174 0.0150 0.0122 0.0211 Columns 144 through 154 0.0174 0.0117 0.0099 0.0089 0.0153 0.0184 0.0133 0.0147 0.0109 0.0139 0.0094 Columns 155 through 165 0.0154 0.0092 0.0171 0.0076 0.0152 0.0156 0.0314 0.0209 0.0102 0.1263 0.0136 Columns 166 through 176 0.0207 0.0131 0.0091 0.0134 0.0107 0.0163 0.3038 0.0224 0.0190 0.0090 0.0217 Columns 177 through 187 0.0120 0.0175 0.0134 0.0169 0.0172 0.0203 0.0204 0.0236 0.0180 0.0246 0.0172 Columns 188 through 198 0.0829 0.0156 0.0122 0.0317 0.0233 0.0148 0.0189 0.0399 0.0442 0.0170 0.0102 Columns 199 through 209 0.0188 0.0171 0.0133 0.0224 0.0137 0.0189 0.0150 0.0330 0.0177 0.0393 0.0170 Columns 210 through 214 0.0388 0.0170 0.0095 0.0109 false geodesic_range_distances = 1.0e+09 * Columns 1 through 9 0.0073 0.0044 0.0117 0.0238 0.0157 0.0083 0.0043 0.0090 0.0045 Columns 10 through 14 1.2059 0.0082 0.1169 0.0298 0.0060 0.0546 0.0028 0.0384 0.0054 Columns 19 through 20 0.0047 false_pairs= 1.0e+09 * [0.0073 0.0044 0.0117 0.0238 0.0157 0.0083 0.0043 0.0090 0.0045 0.0082 0.1169 0.0298 0.0060 0.0546 0.0028 0.0384 0.0054 0.0047 0.0068 0.0037 0.0133 0.0080 0.0071 0.0047 0.0121 0.0084 0.0086 0.0054 0.0078 0.0033 0.0150 0.0059 0.0182 0.0044 0.0038 0.0083 0.0132 0.0111 ] true true_pairs = 1.0e+08 * [ 0.0163 0.0101 0.0211 0.0091 0.0132 0.0198 0.0101 0.0313 0.0157 0.0191 0.0183 0.0361 0.0121 0.0154 0.0224 0.0103 0.0203 0.0112 0.0269 0.0200 0.0081 0.0116 0.0205 0.0102 0.0270 0.0390 0.0315 0.0397 0.0202 0.0147 0.0291 0.0195 0.0229 0.0090 0.0077 0.0096 0.0179 0.0143 0.0652 0.0294 0.0212 0.0301 0.0138 0.0458 0.0224 0.0244 0.0122 0.0278 0.0220 0.0209 0.0169 0.0234 0.0236 0.0217 0.0165 0.0591 0.0251 0.0278 0.0275 0.0866 0.0124 0.0128 0.0368 0.0144 0.0271 4.9312 0.0266 0.0359 0.0243 0.0277 0.0327 0.0120 0.0113 0.0179 0.0180 0.0194 0.0079 0.0281 0.0153 0.0190 0.0140 0.0110 0.0089 0.0163 0.0134 0.0321 0.0148 0.0149 0.0081 0.0110 0.0089 0.0072 0.0187 0.0095 0.0168 0.0264 0.0141 0.0083 0.0270 0.0129 0.0260 0.0163 0.0160 0.0085 0.0160 0.0231 0.0121 0.0163 0.0093 0.0205 0.0120 0.0158 0.0089 0.0184 0.0169 0.0149 0.0200 0.0744 0.0116 0.0256 0.0247 0.0171 0.0183 0.0275 0.0112 0.0158 0.0100 0.0161 0.0231 0.0748 0.0166 0.0152 0.0137 0.0188 0.0174 0.0150 0.0122 0.0211 0.0174 0.0117 0.0099 0.0089 0.0153 0.0184 0.0133 0.0147 0.0109 0.0139 0.0094 0.0154 0.0092 0.0171 0.0076 0.0152 0.0156 0.0314 0.0209 0.0102 0.1263 0.0136 0.0207 0.0131 0.0091 0.0134 0.0107 0.0163 0.3038 0.0224 0.0190 0.0090 0.0217 0.0120 0.0175 0.0134 0.0169 0.0172 0.0203 0.0204 0.0236 0.0180 0.0246 0.0172 0.0829 0.0156 0.0122 0.0317 0.0233 0.0148 0.0189 0.0399 0.0442 0.0170 0.010 0.0188 0.0171 0.0133 0.0224 0.0137 0.0189 0.0150 0.0330 0.0177 0.0393 0.0170 0.0388 0.0170 0.0095 0.0109 ] geodesic_range_distances = 1.0e+08 * Columns 1 through 11 0.0163 0.0101 6.6228 0.0211 0.0091 0.0132 0.0198 0.0101 0.0313 0.0157 2.1818 Columns 12 through 17 0.0191 0.0183 0.0361 0.0121 0.0154 0.0224 0.0103 0.0203 3.7155 0.0112 0.0269 9 true figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0197_095_20050912231927_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0198_095_20050912234004_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0061_033_20050913122529_Range.png') figure imshow('/home/schestow/Texas3DFRDatabase/PreprocessedImages/Clean_0063_034_20050913122456_Range.png') nearcentre geodesic_range_distances = 1.0e+07 * Columns 1 through 12 0.2913 0.6046 1.1139 1.0508 0.6210 0.8154 0.0941 0.3153 0.5305 0.2359 0.2100 0.2727 Columns 13 through 24 1.4342 1.7004 4.6179 0.0247 1.3030 0.1283 0.1705 0.5298 0.1762 0.0654 0.8559 0.3762 Columns 25 through 36 0.2365 0.1395 0.4248 0.0874 0.2194 0.4417 1.2895 0.0572 0.3164 0.0884 0.7726 0.1253 Columns 37 through 46 0.0783 0.1064 0.3565 0.1529 0.5924 0.3100 0.1370 0.5372 0.3066 false_pairs= 1.0e+07 * [ 0.2913 0.6046 1.1139 1.0508 0.6210 0.8154 0.0941 0.3153 0.5305 0.2359 0.2100 0.2727 1.4342 1.7004 4.6179 0.0247 1.3030 0.1283 0.1705 0.5298 0.1762 0.0654 0.8559 0.3762 0.2365 0.1395 0.4248 0.0874 0.2194 0.4417 1.2895 0.0572 0.3164 0.0884 0.7726 0.1253 0.0783 0.1064 0.3565 0.1529 0.5924 0.3100 0.1370 0.5372 0.3066 ] geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.4497 2.1920 0.2234 1.2273 0.2721 0.2792 0.6131 0.2205 3.1395 2.9204 1.4718 0.7042 Columns 13 through 24 2.5007 0.4851 0.4010 0.3534 0.8117 0.3387 0.4282 0.4479 0.2093 2.4340 0.4744 2.3431 Columns 25 through 36 0.4126 0.2557 0.2009 0.6251 0.2253 0.5889 0.9664 0.8226 0.3590 0.5211 0.3278 0.6055 Columns 37 through 48 0.3498 0.4385 0.1512 0.1504 0.2607 0.6592 0.2830 1.7722 0.5672 0.2853 0.3767 0.2774 Columns 49 through 60 1.2644 0.5082 0.4175 0.4334 0.6841 0.8831 0.3679 0.5570 0.5042 1.0206 0.8121 0.3842 Columns 61 through 71 1.2913 1.3195 0.3921 0.8002 1.0870 0.3996 0.2118 0.4990 0.3753 0.5479 0.1654 true_pairs= 1.0e+06 * [0.4497 2.1920 0.2234 1.2273 0.2721 0.2792 0.6131 0.2205 3.1395 2.9204 1.4718 0.7042 2.5007 0.4851 0.4010 0.3534 0.8117 0.3387 0.4282 0.4479 0.2093 2.4340 0.4744 2.3431 0.4126 0.2557 0.2009 0.6251 0.2253 0.5889 0.9664 0.8226 0.3590 0.5211 0.3278 0.6055 0.3498 0.4385 0.1512 0.1504 0.2607 0.6592 0.2830 1.7722 0.5672 0.2853 0.3767 0.2774 1.2644 0.5082 0.4175 0.4334 0.6841 0.8831 0.3679 0.5570 0.5042 1.0206 ] false geodesic_range_distances = 1.0e+07 * Columns 1 through 12 0.2950 0.0759 0.2861 1.0319 0.6230 0.1808 0.0920 0.3218 0.1027 0.2400 0.2068 0.2538 Columns 13 through 24 1.3244 0.2244 2.0464 0.0832 1.3015 0.1280 0.1895 0.2805 0.1670 0.0559 0.2709 0.3681 Columns 25 through 36 0.2576 0.1264 0.4126 0.0749 0.2401 0.0727 0.0783 0.0600 0.3174 0.0819 0.7915 0.1280 Columns 37 through 46 0.0770 0.1164 0.3356 0.1577 0.2379 0.2793 0.1929 0.3010 0.3219 0.0000 false_pairs= 1.0e+07 * [ 0.2950 0.0759 0.2861 1.0319 0.6230 0.1808 0.0920 0.3218 0.1027 0.2400 0.2068 0.2538 1.3244 0.2244 2.0464 0.0832 1.3015 0.1280 0.1895 0.2805 0.1670 0.0559 0.2709 0.3681 0.2576 0.1264 0.4126 0.0749 0.2401 0.0727 0.0783 0.0600 0.3174 0.0819 0.7915 0.1280 0.0770 0.1164 0.3356 0.1577 0.2379 0.2793 0.1929 0.3010 0.3219 0.0000] true Columns 1 through 12 0.0458 0.0247 0.0162 0.0529 0.0265 0.0300 0.0650 0.0243 0.0771 0.0252 0.0212 0.0413 Columns 13 through 24 0.0853 0.0640 0.0453 0.0404 0.0828 0.0279 0.0414 0.0439 0.0198 1.0037 0.0500 0.0238 Columns 25 through 36 0.0491 0.0280 0.0187 0.0643 0.0232 0.0632 0.0911 0.0889 0.0389 0.0572 0.0315 0.0667 Columns 37 through 48 0.0326 0.0374 0.0149 0.0230 0.0243 0.0631 0.0306 0.1753 0.0593 0.0347 0.0417 0.0286 Columns 49 through 60 0.1082 0.0518 0.0435 0.0312 0.0597 0.0843 0.0436 0.0537 0.0432 0.1002 0.0865 0.0411 Columns 61 through 72 0.0883 0.1192 0.0367 0.0766 0.1242 0.0295 0.0186 0.0487 0.0381 0.0521 0.0348 0.0000 true_pairs= 1.0e+07 * [ 0.0458 0.0247 0.0162 0.0529 0.0265 0.0300 0.0650 0.0243 0.0771 0.0252 0.0212 0.0413 0.0853 0.0640 0.0453 0.0404 0.0828 0.0279 0.0414 0.0439 0.0198 0.0500 0.0238 0.0491 0.0280 0.0187 0.0643 0.0232 0.0632 0.0911 0.0889 0.0389 0.0572 0.0315 0.0667 0.0326 0.0374 0.0149 0.0230 0.0243 0.0631 0.0306 0.1753 0.0593 0.0347 0.0417 0.0286 0.1082 0.0518 0.0435 0.0312 0.0597 0.0843 0.0436 0.0537 0.0432 0.1002 0.0865 0.0411 0.0883 0.1192 0.0367 0.0766 0.1242 0.0295 0.0186 0.0487 0.0381 0.0521 0.0348 0.0000] false geodesic_range_distances = 1.0e+05 * Columns 1 through 12 1.6892 0.2432 1.0147 5.6706 4.2227 0.6398 0.4287 2.0224 0.4950 1.1149 0.7170 1.8867 Columns 13 through 14 8.4016 0.0002 true geodesic_range_distances = 1.0e+04 * 2.2502 1.1883 0.8275 1.8571 1.2071 1.1436 3.4126 1.3106 4.4038 0.9861 0.0074 new borders geodesic_range_distances = 1.0e+04 * Columns 1 through 12 1.7979 1.2674 1.5865 2.7927 1.3549 1.3825 4.4299 1.8324 2.7973 1.7002 1.6932 2.8344 Columns 13 through 21 5.1732 2.0283 1.7675 2.3784 4.3777 0.9552 2.4491 6.0083 geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.1611 0.0716 0.1307 0.5555 0.4191 0.0870 0.0445 0.1683 0.0570 0.1226 0.0765 0.1845 Columns 13 through 18 0.8489 0.1274 1.1813 0.0750 0.7055 0.0000 geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.9816 0.0645 0.3531 2.4967 1.1158 0.2352 0.2518 1.1214 0.2300 0.9559 0.4390 1.1505 Columns 13 through 24 5.0019 0.1876 6.2721 0.0700 2.6900 0.2123 0.1564 0.1731 0.1698 0.0906 0.9328 geodesic_range_distances = 1.0e+05 * Columns 1 through 12 1.1930 0.2948 0.6224 0.9407 0.6204 0.5347 0.6668 0.4962 2.0283 0.4844 0.6624 0.6774 Columns 13 through 24 0.8499 1.2705 0.5883 0.7628 0.5572 0.4129 0.6960 2.1708 0.5095 6.7887 0.7272 0.7542 Columns 25 through 26 0.6569 0.0001 1.0e+06 * Columns 1 through 12 0.0175 0.0096 0.0060 0.0194 0.0172 0.0147 0.0182 0.0198 0.0527 0.0136 0.0139 0.0187 Columns 13 through 24 0.0402 0.0113 0.0181 0.0242 0.0290 0.0074 0.0260 3.7430 0.0091 0.0354 0.0264 0.0075 Columns 25 through 28 1.9050 0.0093 4.3727 geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.1753 0.0301 0.1355 0.5912 0.3964 0.0755 0.0563 0.1560 0.0498 0.1054 0.0874 0.1608 Columns 13 through 24 0.8498 0.1135 1.1863 0.0738 0.7008 0.0416 0.1090 0.1561 0.0777 0.0318 0.1419 0.1706 Columns 25 through 32 0.0793 0.0944 0.2650 0.0283 0.1370 0.0483 0.0292 0.0000 false_pairs= 1.0e+06 *[ 0.7971 0.4510 1.2576 2.5536 1.5987 0.8510 0.4539 0.9725 0.4118 0.4666 0.8589 0.5330 3.3545 0.6050 6.0840 0.3295 4.1855 0.5203 0.5143 0.6567 0.6949 0.3468 1.2536 0.8717 0.6865 0.4421 1.3227 0.8471 0.8350 0.5648 0.7929 0.3186 1.4986 0.5433 2.0489 0.4350 0.3622 0.7863 1.3148 1.1792 0.8415 0.9437 0.5956 1.2602 1.3350 0.7535 1.0648 1.1648 1.7348 0.5438 1.4116 0.6898 2.2274 0.3917 0.5124 0.2979 2.7987 1.2346 0.7006 0.4137 0.2493 1.4910 0.3785 0.4515 0.2498 0.7480 0.7751 0.6840 0.8279 0.4261 0.3807 0.4648 0.2503 1.0996 0.9885 2.0394 1.3783 0.6865 0.4472 1.5373 0.7045 0.4275 0.5125 0.6817 0.7982 0.3767 0.2687 0.1740 0.2414 0.6291 ] 1.0e+06 * Columns 1 through 12 0.7971 0.4510 1.2576 2.5536 1.5987 0.8510 0.4539 0.9725 0.4118 0.4666 0.8589 0.5330 Columns 13 through 24 3.3545 0.6050 6.0840 0.3295 4.1855 0.5203 0.5143 0.6567 0.6949 0.3468 1.2536 0.8717 Columns 25 through 36 0.6865 0.4421 1.3227 0.8471 0.8350 0.5648 0.7929 0.3186 1.4986 0.5433 2.0489 0.4350 Columns 37 through 46 0.3622 0.7863 1.3148 1.1792 0.8415 0.9437 0.5956 1.2602 1.3350 1.0e+06 * Columns 1 through 12 0.7535 1.0648 1.1648 1.7348 0.5438 1.4116 0.6898 2.2274 0.3917 0.5124 0.2979 2.7987 Columns 13 through 24 1.2346 0.7006 0.4137 0.2493 1.4910 0.3785 0.4515 0.2498 0.7480 0.7751 0.6840 0.0000 true_pairs= 1.0e+05 * [1.9198 0.9733 0.4331 2.3141 0.8900 1.0740 1.7481 0.9319 3.5215 1.7118 1.1879 1.9663 1.8130 3.4035 0.9918 1.7207 2.3133 1.0469 2.0848 1.1344 1.3962 2.6772 2.2372 0.7021 0.8917 0.9842 0.8980 1.9868 1.1345 ] 1.0e+06 * Columns 1 through 12 0.1920 0.0973 0.0433 0.2314 0.0890 0.1074 0.1748 0.0932 0.3521 0.1712 0.1188 0.1966 Columns 13 through 24 0.1813 0.3403 0.0992 0.1721 0.2313 0.1047 0.2085 0.1134 0.1396 0.2677 0.2237 0.0702 Columns 25 through 36 0.0892 0.0984 0.0898 0.1987 0.1135 0.2538 0.3195 0.3362 0.4220 0.1759 0.1447 0.3199 Columns 37 through 48 0.2106 0.2286 0.0738 0.0726 0.0825 0.2092 0.1213 0.6530 0.2991 0.1813 0.3260 0.1238 Columns 49 through 60 0.4060 0.1976 0.2715 0.1285 0.3607 0.2387 0.2101 0.2110 0.2509 0.2275 0.2505 0.1826 Columns 61 through 72 0.6192 0.3070 0.2649 0.3191 0.9032 0.1339 0.1082 0.4218 0.1437 0.2359 0.0704 0.2913 Columns 73 through 84 0.4475 0.2142 0.2808 0.3137 0.1257 0.1053 0.1982 0.1917 0.1734 0.0896 0.2612 0.1467 Columns 85 through 96 0.1901 0.1452 0.1097 0.1027 0.1727 0.1439 0.3285 0.1362 0.1351 0.0908 0.1069 0.0915 Columns 97 through 108 0.0808 0.1743 0.1049 0.1881 0.2480 0.1348 0.0792 0.2894 0.1107 0.2530 0.2012 0.1262 Columns 109 through 120 0.0725 0.1498 0.2425 0.1135 0.1561 0.1056 0.2321 0.1413 0.1720 0.0782 0.1601 0.1547 Columns 121 through 132 0.1493 0.2378 0.7367 0.1186 0.2781 0.2684 0.1832 0.1757 0.2745 0.1285 0.1690 0.0964 Columns 133 through 144 0.1434 0.2750 0.8942 0.1620 0.1555 0.1348 0.2057 0.1774 0.1241 0.1232 0.2115 0.1921 Columns 145 through 156 0.1380 0.1184 0.0942 0.1224 0.1763 0.1174 0.1354 0.0972 0.1719 0.1022 0.1575 0.0874 Columns 157 through 168 0.1751 0.0715 0.1457 0.1447 0.3422 0.2475 0.1158 1.3628 0.1494 0.2189 0.1365 0.0932 Columns 169 through 180 0.1605 0.1142 0.1500 3.1686 0.2252 0.1799 0.0864 0.2115 0.1143 0.1860 0.1313 0.1970 Columns 181 through 192 0.1815 0.2333 0.2062 0.2516 0.1424 0.2022 0.1545 0.8616 0.1387 0.1126 0.3299 0.2712 Columns 193 through 204 0.1386 0.1947 0.4032 0.4192 0.1785 0.0860 0.1792 0.2166 0.1328 0.2438 0.1580 0.1897 Columns 205 through 216 0.1604 0.2775 0.1550 0.4281 0.1589 0.3465 0.1780 0.1382 0.1265 0.2506 0.1461 0.1565 Columns 217 through 228 0.1477 0.2356 0.1305 0.1411 0.2490 0.4302 0.4874 0.0986 0.1155 0.1957 0.0848 0.0974 Columns 229 through 240 0.2084 0.2016 0.0738 0.0928 0.1042 0.0937 0.0841 0.1853 0.3597 0.1196 0.3041 0.5315 Columns 241 through 252 0.4861 0.0744 0.2336 0.2118 0.7840 0.1549 0.1346 0.0934 0.2373 0.2832 0.1158 0.2239 Columns 253 through 264 0.6759 0.0677 0.5729 0.3058 0.2193 0.1677 0.1251 0.2763 0.2122 0.1132 0.1436 0.1455 Columns 265 through 276 0.2059 0.2052 0.1980 0.1757 0.1369 0.0935 0.1762 0.1676 0.2196 0.2189 0.1877 0.1122 Columns 277 through 288 0.1328 0.2163 0.1256 0.1601 0.7678 0.2766 0.1422 0.4067 0.2475 0.1145 0.1009 0.1124 Columns 289 through 300 0.3519 0.1639 0.1719 0.4467 0.3538 0.2724 0.4018 0.1704 0.6334 0.2830 0.1398 0.0863 Columns 301 through 312 0.1965 0.4725 0.0876 0.1302 0.1317 0.1403 0.1231 0.3881 0.0436 0.1199 0.1675 0.5647 Columns 313 through 324 0.0764 0.2237 0.1711 0.2879 0.2273 0.1649 0.1535 0.1410 0.0922 0.1319 0.1083 0.4334 Columns 325 through 336 0.0854 0.1174 0.2642 1.4001 0.1643 0.1143 0.3018 0.5465 0.1940 0.5635 0.1943 0.6966 Columns 337 through 348 0.1479 0.4152 0.4233 0.3739 0.1537 0.2057 0.1288 0.2350 0.2072 0.0707 0.5503 0.1775 Columns 349 through 360 0.2096 0.1118 0.2269 0.2922 0.3159 0.1229 0.1023 0.1354 0.4724 0.0683 0.2218 0.1341 Columns 361 through 372 0.8486 0.1477 0.1035 0.1352 0.2484 0.0747 0.0950 0.2349 0.1400 0.1423 0.1069 0.1788 Columns 373 through 384 0.2208 0.1381 0.1314 0.1623 0.2706 0.2141 0.2956 0.0920 0.3838 0.1310 0.1724 0.1427 Columns 385 through 396 0.2290 0.3088 0.2023 0.1918 0.1009 0.4521 0.3353 0.1557 0.1247 0.3716 0.1047 0.1856 Columns 397 through 408 0.1596 0.1415 0.1808 0.0943 0.1022 0.0863 0.2776 0.1378 0.2397 3.5254 0.1312 0.3047 Columns 409 through 420 0.4464 0.1166 0.3081 0.4853 0.2027 0.1858 0.2114 0.0913 0.1550 0.1117 0.1579 0.1699 Columns 421 through 432 0.1736 0.1415 0.3188 0.1399 0.2190 0.1909 0.2719 0.2450 0.2235 0.1583 0.3377 0.2120 Columns 433 through 444 0.1866 0.1996 0.2103 0.2460 0.2909 0.0907 0.1422 0.1870 0.1017 0.2259 0.6025 0.1468 Columns 445 through 456 0.2678 0.3169 1.3842 0.0882 0.1189 0.3055 0.2927 0.3072 0.2745 0.1078 0.2439 0.0910 Columns 457 through 468 0.2038 0.6476 0.1388 0.0772 0.8384 0.2032 0.5472 0.2883 0.3019 0.1752 0.1551 0.1815 Columns 469 through 480 0.1650 0.2737 0.2541 0.2652 0.6950 0.0480 0.1824 0.0990 0.2142 0.1094 0.3164 0.1397 Columns 481 through 492 0.2170 0.0726 0.3475 0.1294 0.1934 0.4834 0.1223 0.1674 0.0884 0.1055 0.1985 0.2020 Columns 493 through 504 0.0842 0.1789 0.5820 0.1594 0.2998 0.5731 0.4028 0.2335 0.5409 0.3118 0.1647 0.2004 Columns 505 through 516 0.1554 0.3431 0.2955 0.0824 0.2943 0.0807 0.1165 0.2330 0.0879 0.1537 0.5884 0.0801 Columns 517 through 528 0.3839 0.1335 0.1697 0.1292 0.3462 0.1978 0.1354 0.0960 0.1422 0.2577 0.1143 0.0871 Columns 529 through 540 0.2395 0.1486 0.2309 0.0629 0.0899 0.0650 0.2454 0.2018 0.1629 0.1138 0.2499 0.0000 geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.2882 0.1544 0.1377 0.4087 0.5088 0.1846 0.2043 0.1966 0.2884 0.2232 0.0893 0.1041 Columns 13 through 24 0.1799 0.1371 0.1103 0.2275 0.1324 0.1033 0.0778 0.1252 0.2528 0.1267 0.1417 0.2319 Columns 25 through 36 0.2282 0.2085 0.2192 0.0762 true_pair[0.2882 0.1544 0.1377 0.4087 0.5088 0.1846 0.2043 0.1966 0.2884 0.2232 0.0893 0.1041 0.1799 0.1371 0.1103 0.2275 0.1324 0.1033 0.0778 0.1252 0.2528 0.1267 0.1417 0.2319 0.2282 0.2085 0.2192 ] 0.0762 false_pairs= 1.0e+06 * [ 0.9442 1.6806 1.2055 1.5048 0.7479 1.7188 0.6213 2.0536 0.4801 0.9045 0.7830 2.9230 1.2358 0.7459 0.3505 0.2734 1.5200 0.4145 0.5383 0.3620 1.0438 0.8418 0.7926 0.8960 0.4850 0.5511 0.4920 0.3494 1.3265 0.9334 1.9916 1.9308 0.8889 0.3993 1.6783 0.6492] 1.0e+06 * Columns 1 through 12 0.9442 1.6806 1.2055 1.5048 0.7479 1.7188 0.6213 2.0536 0.4801 0.9045 0.7830 2.9230 Columns 13 through 24 1.2358 0.7459 0.3505 0.2734 1.5200 0.4145 0.5383 0.3620 1.0438 0.8418 0.7926 0.8960 Columns 25 through 36 0.4850 0.5511 0.4920 0.3494 1.3265 0.9334 1.9916 1.9308 0.8889 0.3993 1.6783 0.6492 nose ratiom at 4. geodesic_range_distances = 1.0e+07 * Columns 1 through 12 1.1812 1.3217 1.7213 2.2811 0.6799 1.6434 0.7676 2.2812 0.4804 0.6892 0.4455 3.9695 Columns 13 through 17 1.4949 0.8377 0.5139 0.2751 5 geodesic_range_distances = 1.0e+07 * Columns 1 through 12 0.3059 0.1195 0.1346 0.3120 0.3837 0.2180 0.2072 0.1958 0.2429 0.2438 0.1283 0.1383 Columns 13 through 24 0.2129 0.2269 0.1719 0.2329 0.1735 0.1255 0.1059 0.1245 0.3345 0.1985 0.1476 0.1715 Columns 25 through 36 0.1829 0.1637 0.1589 0.1394 2.0254 0.5073 0.4790 0.3290 0.2785 0.2511 0.3041 0.5185 Columns 37 through 48 0.2474 0.1275 0.1706 0.1841 0.2337 0.2408 0.5018 0.7106 0.2598 0.3072 0.5487 0.7604 Columns 49 through 54 0.2386 0.2744 0.1302 0.2208 0.2029 0.0000 spectral - back in manc true 1.0e+04 * 6.2256 1.7398 1.9839 3.8186 geodesic_range_distances = 1.0e+07 * Columns 1 through 12 0.0008 0.2099 0.0007 0.0018 0.0012 1.0367 0.0005 0.0004 0.0406 0.0037 0.0004 0.0013 Columns 13 through 19 0.0007 0.0021 0.0011 0.0010 0.0001 0.0005 0.0003 geodesic_range_distances = 1.0e+04 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0 0 0 0 Columns 25 through 36 0 0 0 0 0 0 0 0 0 0 0 0 Columns 37 through 47 0 0 0 0 0.1953 0.9956 1.5274 1.2909 0.4533 1.8625 6.4336 true_pairs=[ 0.0008 0.0007 0.0018 0.0012 0.0005 0.0004 0.0037 0.0004 0.0013 0.0007 0.0021 0.0011 0.0010 0.0001 0.0005 0.0003 0.0001953 0.0009956 0.0015274 0.0012909 0.0004533 0.0018625 0.0064336] false geodesic_range_distances = 1.0e+06 * 0.0236 0.0042 0.0081 0.0115 2.4103 c geodesic_range_distances = 1.0e+07 * 0.0076 0.0011 1.8110 0.0056 0.0009 0.0018 0.0025 0.0015 1.0e+05 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0.0989 3.9440 0.6322 0.1797 Columns 25 through 26 0.4962 1.0e+04 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0 0 0 0 Columns 25 through 36 0 0 0 0 0 0 0 0 0 0 0 0 Columns 37 through 44 0 0 0 0 3.5674 2.6985 2.6037 false_pairs=[ 0.0076 0.0011 0.0056 0.0009 0.0018 0.0025 0.0015 0.000989 0.006322 0.001797 0.004962 0.0035674 0.0026985 0.0026037 ] more range tru geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.0255 0.0284 0.0043 0.0131 5.1703 0.0056 0.0813 0.0118 0.0368 0.0274 0.0226 0.0133 Columns 13 through 22 0.1005 0.0162 0.0580 0.0544 0.0553 0.0428 0.0544 0.2097 4.7263 true_pairs=[ 0.0255 0.0284 0.0043 0.0131 0.0056 0.0813 0.0118 0.0368 0.0274 0.0226 0.0133 0.1005 0.0162 0.0580 0.0544 0.0553 0.0428 0.0544 0.2097] 1.0e+07 * Columns 1 through 12 0.0047 0.0042 0.0122 0.0043 1.5304 0.0016 0.0024 0.0024 0.0029 0.0038 0.0016 0.0128 Columns 13 through 15 0.0028 0.0276 0.0070 false_pairs=[0.047 0.042 0.122 0.043 0.016 0.024 0.024 0.029 0.038 0.016 0.128] Columns 13 through 15 0.0028 0.0276 0.0070 low range false geodesic_range_distances = 1.0e+06 * Columns 1 through 12 0.0720 0.0105 0.0135 0.0155 0.0141 0.0067 0.0199 0.0105 0.0219 0.0161 0.0122 0.0061 Columns 13 through 24 0.0025 0.0416 0.0418 0.0039 0.0033 0.0025 0.0218 0.0255 0.0187 0.1036 0.1209 0.0337 Columns 25 through 36 0.0303 0.0098 0.0112 0.0167 0.0522 0.0097 0.0293 0.1783 0.0020 0.0384 0.1894 0.0832 Columns 37 through 46 0.1607 0.0171 0.0439 0.0368 0.0009 0.0105 0.0217 1.7012 0.0191 0.0042 false_pairs=[ 0.0720 0.0105 0.0135 0.0155 0.0141 0.0067 0.0199 0.0105 0.0219 0.0161 0.0122 0.0061 0.0025 0.0416 0.0418 0.0039 0.0033 0.0025 0.0218 0.0255 0.0187 0.1036 0.1209 0.0337 0.0303 0.0098 0.0112 0.0167 0.0522 0.0097 0.0293 0.1783 0.0020 0.0384 0.1894 0.0832 0.1607 0.0171 0.0439 0.0368 0.0009 0.0105 0.0217 0.0191 0.0042] true geodesic_range_distances = 1.0e+05 * Columns 1 through 12 0.0424 0.0384 0.0651 0.0537 0.1976 1.1016 0.1071 0.0240 0.2733 0.1784 0.0110 0.0190 Columns 13 through 24 0.0684 0.0741 0.0278 0.0512 0.0917 0.0367 0.3667 0.0240 0.0695 0.1474 0.0934 0 true_pairs=0.1*[0.0424 0.0384 0.0651 0.0537 0.1976 0.1071 0.0240 0.2733 0.1784 0.0110 0.0190 0.0684 0.0741 0.0278 0.0512 0.0917 0.0367 0.3667 0.0240 0.0695 0.1474 0.0934 ] many ings true geodesic_range_distances = 1.0e+05 * 1.8721 2.0074 3.1426 7.3708 7.6967 2.2665 geodesic_range_distances = 1.0e+05 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 15 0 0 4.5426 1.0e+06 * Columns 13 through 22 0 0 0 0 0 0 0 0 1.1151 0.4215 geodesic_range_distances = 1.0e+07 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 20 0 0 0.0454 0.2706 2.5928 0.0241 0.0373 0.0598 false geodesic_range_distances = 1.0e+07 * Columns 1 through 12 0.2642 0.0784 0.0432 0.0610 0.0476 0.2369 0.0450 0.2007 0.2406 0.0344 0.0340 0.0410 Columns 13 through 24 0.0240 0.1364 0.2036 0.0324 4.1225 0.4208 0.0426 0.0665 0.0378 0.4428 0.5068 0.0396 Columns 25 through 36 0.1948 0.0559 0.0782 0.0512 0.0434 0.0780 0.1569 1.1424 0.0373 0.4980 2.3790 0.0528 Columns 37 through 38 0.2466 0.0438 true_pairs=1.0e+07 *[ 0.0003 0.0022 0.0020 0.0032 0.0050 0.0002 0.0129 0.0014 0.0003 0.0016 0.0006 0.0009 0.9921 0.0028 0.0017 0.0010 0.0010 0.0010 0.0022 0.0022 0.0126 0.0015 0.0070 1.1111 0.0010 0.0008 0.0001 0.0037 0.0015 0.0015 0.0024 0.0015 0.0019 0.0025 0.0010 0.0011 0.4406 0.0025 0.0018 0.0323 0.0012 0.0139 0.0025 0.0045 0.0011 0.0063] false_pairs=1.0e+05 * [ 0.5622 0.0828 0.0432 0.0147 0.3950 0.3719 0.1024 1.2669] 1,7 thresh true_pairs= 1.0e+06 *[ 0.0052 0.0104 0.0135 0.2743 0.0042 0.0026 0.1397 0.0032 0.1985 0.0044 0.0072 0.0056 0.0173 0.3332 0.0229 0.0014 0.0056 0.0070 0.0056 0.0104 0.0182 0.0132 0.0041 0.0375 0.0065 0.0099 0.0182 0.0251 0.0291 0.0174 0.0305 0.0026 0.0147 0.0166 0.0098 0.0094 0.0115 0.0034 0.0278 0.0150 0.0414 0.0176 0.0745 0.0533 0.0988 0.0162 0.0525 0.0403 0.0067 0.0122 0.0194 0.0038 0.0171 0.0093 0.0104 0.0095 0.0118 0.0180 0.0106 0.1802 0.0065 0.0105 0.0065 0.0177 0.1223 0.0288 0.0031 0.0052 0.0029 0.0259 0.1684 0.0159 0.0458 0.0195 0.0234 0.0130 0.0023 0.0024 0.0164 0.0045 0.2568 0.0209 0.0037 0.0080 0.0077 0.0767 0.0039 0.0241 0.0183 0.1332 0.0034 0.0135 0.0128] false_pairs= 1.0e+07 *[ 0.0043 0.0019 0.0160 0.0397 0.0024 0.0025 0.0009 0.0124 0.0114 0.0008 0.0046 0.0021 0.0040 0.0026 0.0008 0.0029 0.0178 0.0039 0.0001 0.0097 2.5646 0.0015 0.0106 0.0014 0.0050 0.0058 0.5459 0.0487 0.0041 0.0012 0.0022 0.0023] true 1.0e-09 * 0.2311 0.1924 0.2986 0.1890 0.2509 1.0e-09 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0 0 0.2745 0.7795 false diffusion_distances = 1.0e-09 * 0.2788 0.2642 1.0e-08 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0.0316 0.0473 0.0214 0.4090 true diffusion_distances = 1.0e-03 * 4 0 0 0 0 0 0 0 0 0 0 0.1722 0.0000 diffusion_distances = 1.0e-09 * 0 0 0.2808 0.1811 0.2735 diffusion_distances = 1.0e-09 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 18 0.2336 0.1656 0.2138 0.2091 0.2470 0.2639 diffusion_distances = 1.0e-09 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0 0 0.2156 0.1434 error_counter = 0 key features only false_pairs= 1.0e-11 * [ 0.0003 0.1822 0.2325 0.0483 0.0796] false_pairs= [false_pairs [ 1.0e-09 * [ 0.0027 0.0029 0.1957]]] false_pairs= [false_pairs [ 1.0e-09 * [ 0.0141 0.9156]]] false_pairs= [false_pairs [ 1.0e-08 * [ 0.0497 0.1417]]] false_pairs= [false_pairs [ 1.0e-08 * [ 0.0007 0.1865]]] true_pairs= 1.0e-13 * [0.0524 0.2055 0.3908 0.2400 3.3160] true_pairs= [true_pairs [ 1.0e-12 * [ 0.0013 0.0019 0.0385 0.0251 0.3533]]] true_pairs= [true_pairs [ 1.0e-13 * [ 0.3294 0.0007]]] true_pairs= [true_pairs [ 1.0e-08 * [ 0.0007 0.1865]]] true_pairs= [true_pairs [ 1.0e-08 * [ 0.0002 0.1706]]] two eyes diffusion_distances_pre = 1.0e-12 * 0.0041 0.0155 0.0757 0.0594 0.5820 diffusion_distances_pre = 1.0e-11 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 18 0 0 0 0 0.0005 0.1253 1.0e-12 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 17 0 0 0.6471 0.1151 0.0028 1.0e-08 * [ 0.0212 0.1407] false_pairs= 1.0e-12 *[ 0.0041 0.0155 0.0757 0.0594 0.5820] false_pairs= [false_pairs [ 1.0e-11 *[ 0.0005 0.1253]]] false_pairs= [false_pairs [ 1.0e-12 *[ 0.6471 0.1151 0.0028]]] false_pairs= [false_pairs [ 1.0e-08 * [ 0.0212 0.1407]]] faLse = 1.0e-08 * 0.0003 0.0003 0.4318 1.0e-11 * 0 0 0 0 0.0069 0.1321 0.3983 0.2047 0.9652 diffusion_distances_pre = 1.0e-08 * 0.1541 diffusion_distances_pre = 1.0e-11 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 17 0 0 0.3402 0.0542 0.0900 true_pairs= 1.0e-08 *[ 0.0003 0.0003 0.4318] true_pairs= [true_pairs [ 1.0e-11 *[ 0.0069 0.1321 0.3983 0.2047 0.9652]]] true_pairs= [true_pairs [ 1.0e-08 * [ 0.1541]]] true_pairs= [true_pairs [ 1.0e-11 *[ 0.3402 0.0542 0.0900]]] false 1.0e-08 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 18 0 0 0.0033 0.0004 0.0001 0.5354 diffusion_distances_pre = 1.0e-08 * Columns 1 through 12 0 0 0 0 0 0 0 0 0 0 0 0 Columns 13 through 24 0 0 0 0 0 0 0 0 0 0 0 0 Columns 25 through 36 0.1335 0.0001 0.0010 0.0008 0.0009 0.0005 0.0000 0.0020 0.3074 0.0016 0.0011 0.0000 Columns 37 through 46 0.0018 0.3614 0.0005 0.0000 0.0001 0.0002 0.0000 0.0000 0.3724 0.0000 triangle_difference = Columns 1 through 23 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 24 through 30 0 171 191 163 106 79 plogon counter - large TRUE triangle_difference = Columns 1 through 12 203 388 213 238 326 113 346 77 81 381 109 139 Columns 13 through 24 94 176 436 189 160 223 518 711 478 272 278 519 Columns 25 through 36 107 273 162 104 78 704 330 1570 121 125 1207 114 Columns 37 through 48 99 94 143 174 81 603 278 337 449 318 380 1284 Columns 49 through 60 297 120 297 285 580 170 341 993 223 417 341 674 Columns 61 through 72 3794 360 153 139 655 218 137 166 706 126 234 119 Columns 73 through 84 168 210 231 162 732 187 142 125 179 98 358 69 Columns 85 through 96 1264 385 234 607 3201 74 82 551 371 275 92 146 Columns 97 through 108 294 186 532 152 177 312 135 430 220 165 287 102 Columns 109 through 120 84 85 254 388 330 612 325 129 304 74 165 122 Columns 121 through 132 111 630 627 795 182 84 311 218 349 84 2027 597 Columns 133 through 144 276 160 424 133 165 353 859 501 819 119 511 1433 Columns 145 through 156 400 271 423 65 717 238 124 265 63 97 338 681 Columns 157 through 168 508 232 58 282 211 457 140 450 226 247 586 108 Columns 169 through 180 1370 527 144 274 73 605 369 334 457 275 498 379 Columns 181 through 192 146 170 147 124 461 244 268 395 150 76 464 304 Columns 193 through 204 219 256 299 109 190 559 354 602 171 132 320 174 Columns 205 through 216 448 1806 631 767 235 117 132 113 109 310 1072 155 Columns 217 through 228 260 74 90 334 334 149 604 262 224 1154 5214 152 Columns 229 through 240 228 643 182 182 315 104 3554 503 178 310 379 956 Columns 241 through 252 922 158 399 157 213 586 109 1484 183 114 3008 182 Columns 253 through 264 381 83 99 637 408 268 582 229 77 216 173 198 Columns 265 through 276 352 3917 505 59 95 131 75 338 527 276 568 369 Columns 277 through 286 174 865 108 1257 125 182 377 96 161 1797 extanded range true_pairs=[ 100 126 83 91 39 79 118 64 64 127 73 50 82 37 149 191 57 104 263 85 248 127 158 140 80 155 139 46 39 152 143 131 74 183 60 48 118 37 118 92 31 292 1656 116 157 191 147 326 99 50 85 102 179 95 144 1191 913 177 136 405 249 133 42 158 307 85 105 85 471 44 268 66 129 31 57] false_pairs=[ 50 77 60 272 72 126 65 47 70 196 86 48 183 187 193 110 63 323 248 359 106 303 303 54 192 167 107 220 135 126 204 123 78 313 182 192 278 144 181 221 223 78 155 113 309 208] true triangle_difference = Columns 1 through 12 77 153 1456 61 164 15021 545 239 232 273 37 705 Columns 13 through 24 14 0 97 118 128 110385 223 106 417 9064 13639 44 Columns 25 through 36 1062 6755 127 45 113 1317 27 45 17 134 415 343 Columns 37 through 48 47 97 1298 115 29 756 494 189 63 922 4572 323 Columns 49 through 60 134 524 23700 95 326 274 313 243 205 201 332 triangle_difference = Columns 1 through 11 true_pairs=[ 336 83 5586 2264 97 21 0 36 19 20 337 42 6 14012 70 32 2669 71 1402 1639 149 42 205 240 1977 50 0 200 15884 0 4978 0 373 443 353 101 408 406 241 144 847 110 4134 1709 130 28 48873 1761 201 178 818 1163 61 1335 2110 121 51 5943 368 7636 1693 186 539 178 251 225 1028 17571 894 3145 448 31 114 799 154 569 117 133 44 49 76 103 36 19930 53 181 1313 17989 83 171 203 78 83 395 354 629 23 1470 273 56 238 101 161 645 332 69 105 45 125 216 112 298 901 274 183 203 13 147 194 15 65 52 107 205 58 47 7 70 247 30911 4066 75 106 2300 49 257 123 4860 247 10303 95 37 5399 667 ] false false_pairs=[ 332 2854 616 255 1671 958 2651 80 58 56 489 2128 48 25 207 11 46 453 337 44 198 7060 92 13 87 1541 139 0 3086 138 277 80 126 88 79 75 68 504 84 53 86 163 113 56 4273 140] triangle_difference = Columns 1 through 11 20998 16496 16895 24654 3537 28295 37665 12504 7655 5154 17266 Columns 12 through 22 12282 19557 6634 6441 3182 16605 6012 22863 16774 1449 17470 Columns 23 through 33 22047 4727 17666 20284 29939 1724 23478 4245 24768 8031 3386 Columns 34 through 44 22928 31048 4204 10258 25027 23457 5084 48830 7095 28992 22432 Columns 45 through 46 25790 20091 false geodesic_range_distances = 1.0e+09 * Columns 1 through 14 1.1751 1.0295 0.8874 1.2088 0.0015 1.0739 0.0176 0.0000 0.0304 0.0020 1.0027 0.0000 1.1605 0.0001 Columns 15 through 28 0.0035 0.0000 1.1055 0.0241 1.0112 0.0093 0.0116 1.0367 0.9276 0.0000 0.8774 0.9068 0.8352 0.0000 Columns 29 through 42 0.9825 0.0100 0.0287 1.0164 0.0002 0.8725 0.9044 0.0023 0.0001 0.9522 0.9894 0.0091 1.0772 0.0103 Columns 43 through 46 0.9934 0.0262 0.8867 0.9101 true geodesic_range_distances = 1.0e+09 * Columns 1 through 14 0.0001 1.0477 1.0461 1.0670 1.0412 0.0080 1.0309 0.0001 0.9980 0.0031 0.0005 1.0162 1.0128 0.0000 Columns 15 through 28 1.0670 1.0747 0.0004 2.2194 1.1034 1.0340 0.0055 0.0029 1.0633 1.0948 0.0063 1.0897 1.0517 1.0352 Columns 29 through 42 0.8757 0.0018 0.0000 0.9250 0.0000 0.8739 0.0042 0.8990 0.0063 0.8678 0.8458 0.0030 0.0000 0.0000 Columns 43 through 56 0.9741 0.0114 0.0092 0.9124 0.0006 0.0003 0.0041 0.9536 0.0498 0.8578 0.8168 0.0010 0.9457 0.0092 Columns 57 through 60 0.0228 0.7843 0.0181 0 1.0e+09 * Columns 1 through 14 false_pairs=[ 1.1751 1.0295 0.8874 1.2088 0.0015 1.0739 0.0176 0.0000 0.0304 0.0020 1.0027 0.0000 1.1605 0.0001 0.0035 0.0000 1.1055 0.0241 1.0112 0.0093 0.0116 1.0367 0.9276 0.0000 0.8774 0.9068 0.8352 0.0000 0.9825 0.0100 0.0287 1.0164 0.0002 0.8725 0.9044 0.0023 0.0001 0.9522 0.9894 0.0091 1.0772 0.0103 0.9934 0.0262 0.8867 0.9101] true_pairs=[ 0.0000 1.0585 1.0206 1.0753 1.0411 0.0073 1.0140 0.0000 1.0049 0.0029 0.0005 1.0192 1.0141 0.0000 1.1079 1.0681 0.0001 1.0749 1.1042 1.0381 0.0057 0.0028 1.0626 1.1076 0.0063 1.0888 1.0353 1.0462 0.8827 0.1319 0.0000 0.9284 0.0000 0.8839 0.0019 0.8872 0.0040 0.8782 0.8501 0.0029 0.0001 0.0000 0.9506 0.0092 0.0095 0.9088 0.0002 0.3594 0.0041 0.9717 0.0002 0.8554 0.8233 0.0006 0.9396 0.0097 0.0201 0.7867 0.0150 0.9286 0.8848 0.0025 0.0000 0.7344 0.9677 0.0024 0.9555 0.0002 0.0402 0.9393 0.0043 0.0242 1.1374 0.0073 0.0034 1.0504 0.0001 1.1549 0.0030 0.0000 0.0000 0.0057 1.1915 1.1857] Columns 85 through 98 geodesic_range_distances = 1.0e+05 * Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 15 through 23 0 0 0 0 0 0 0.4655 2.7861 0.1620 true triangle_difference = Columns 1 through 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 25 through 48 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 49 through 64 0 0 0 0 0 0 0 0 0 0 0 0 247 80 262 189 a = 5 a = 5 a = 5 a = 5 error_counter = 0 geodesic_range_distances = 1.0e+06 * Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 15 through 28 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 29 through 42 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 43 through 56 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 57 through 64 0 0 0 0 08.916 11.489 00.477 03.264 geodesic_range_distances = false_pairs= 1.0e+06 *[ 0.3939 0.8943 0.1414 4.4338 0.1040 0.4714 2.1794 3.5042 1.7851 0.5187 0.1318 7.6910 2.6734 1.6761 1.1156 0.1963 2.4742 0.6607 0.4919 0.8312 0.1159 1.1809 2.2188 0.5433 1.0116 0.7379 0.4756 0.2340 0.5961 3.6133 3.7695 0.6731 0.0773 0.7546 0.3173 0.9266 0.8825 0.3894 0.4454 0.2408 0.4934 0.8777 0.1378 1.6038 0.2913 0.1356] true true_pairs= 1.0e+05 * [ 0.5941 0.8168 2.0214 4.9031 3.2452 1.2106 1.2493 1.4093 0.8033 2.2019 0.3638 ] false_pairs= 1.0e+07 *[0.5956 0.6946 0.1760 2.3946 0.1510 0.4104] true_pairs=1.0e+06 * [ 0.6499 0.6187 1.5485 3.5787 3.0321 0.8083 0.8789 0.9428 1.0666 2.9092 0.3439 1.5718 1.2096 0.7406 0.6765 0.4622 0.5178 0.4046 0.7374 0.5281 3.8581 2.0261 0.8119 2.8486 4.7238 2.6359 1.2873 0.6012] false hist_bin_y = 36201 38786 51938 80954 108600 114720 67188 29478 6162 334 31043 33774 44964 64818 86584 108156 66266 39686 10072 446 true hist_bin_x = 36388 39742 59806 94984 126132 77770 33184 4786 522 30 hist_bin_y = 39129 43902 67004 104328 127398 68904 25256 3922 364 42 hist_bin_x = 38271 43804 64940 92850 119580 74612 35620 7086 660 58 hist_bin_y = 33084 37790 55340 79840 97610 68650 32158 9034 1158 72 hist_bin_x = 30073 33152 44506 69804 84650 89010 48170 21096 5456 492 hist_bin_y = 35110 38166 52916 79724 106820 107422 60716 24624 4074 224 true diffusion_on_geodesic = Columns 1 through 11 0 0 0 0 0 0 0 0 0 174500 99367 Columns 12 through 22 82633 123944 55292 86531 34320 156072 81153 138060 110277 204200 39385 Columns 23 through 33 18864 144604 174888 155460 62508 36652 197297 120291 273728 50896 21552 Columns 34 through 44 41507 144716 227900 43301 76256 124919 171696 25652 74236 85480 95600 Columns 45 through 55 61313 58408 136068 855499 278659 69853 55308 83217 143832 71341 58189 Columns 56 through 58 134537 190721 115077 false diffusion_on_geodesic = Columns 1 through 12 0 0 0 0 0 0 0 0 0 277772 155052 153644 Columns 13 through 20 343072 72801 70957 103037 619028 125632 223997 60688 true_pairs=[0.4004 0.3500 0.2202 0.6747 0.3584 0.3317 0.1300 0.2212 0.1853 0.2616 0.4008 0.4093 0.4691 1.0924 0.9494 0.3643 0.3002 0.8954 0.5852 0.2127 0.1113 0.3607 0.4473] false_pairs=[0.5905 0.7297 3.4496 2.0897 0.7756 0.8185 0.9585 1.2034 0.5063 1.2653 1.4282 1.2442 0.6997 0.8760 0.5783 2.8467] true true_pairs=[21.6754 16.7119 19.4840 23.9524 37.3719 21.0292 12.9510 15.6961 10.6836 15.4639 15.8857 14.8906 19.5300 18.0516 30.9293 18.2293 21.3306 27.9129 21.2411 22.2481 20.3087 18.6333 15.0793 13.0917 ] false_pairs=[20.6655 22.0562 29.1187 41.3421 26.3551 25.9905 39.7179 25.4055 22.4606 43.5621 29.9508] Sevral more experiments have been run to explore the use of GMDS in a more robust way to establish what pair comprises corresponding people. Starting with experiments that look at the use of 3 GMDS processes around 3 different centres, there is a best fit approach, from which the following ROC curve was obtained. The same for average reveals similar performance. By taking all cenrre points at once and performing GMDS on a mask around we get: The same for average gmds_rings_min = Columns 1 through 13 true_pairs= [0.1070 0.0851 0.1004 0.1210 0.1382 0.1113 0.1143 0.1247 0.1253 0.1057 0.1536 0.0697 0.1062 0.1843 ] gmds_rings = true_pairs= [ 49.0708 46.3521 40.7830 76.4711 98.8794 73.3096 55.6283 68.5804 59.9460 45.9501 35.3702 43.7423 57.3596 58.2949 41.3100] false false_pairs=[ 0.3258 0.3185 0.1083 0.4603 0.2071 ] false_pairs=[ 27.3217 35.6939 37.3726 41.6555 26.0267 ] gmds_rings = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 true_pairs= [ 17.1482 16.1008 16.4426 22.8685 21.5829 23.6632 13.6302 22.2034 14.4450 13.6882 12.5717 18.0269 12.2081 15.5949 14.2130 16.0183 16.1642 15.5556 21.8924 16.1082 18.0057 15.7035 17.8670 20.6294 16.5026 18.8698 ] false gmds_rings_min = Columns 1 through 13 0 0 0 0 0 0 0 0 0 0 0.3102 0.3944 0.2860 Columns 14 through 26 0.3047 0.5066 0.2551 0.2571 0.2700 0.3758 0.4140 0.3072 0.1925 0.4456 0.5365 0.3473 0.3484 Column 27 0.2736 gmds_rings = Columns 1 through 13 0 0 0 0 0 0 0 0 0 0 false_pairs=[ 24.9542 35.0292 30.9100 39.9601 26.1473 30.9068 19.9078 14.9692 41.6674 29.2210 31.6029 25.3697 34.2752 38.6522 39.0319 23.3921 31.0380] gmds_rings_min = Columns 1 through 13 0 0 0.5015 0.7622 0.5637 0.9178 0.2821 0.3239 0.4950 0.7368 0.2310 0.3797 0.3143 Columns 14 through 22 1.0145 1.0704 0.6944 0.6224 1.0837 0.7184 0.4598 0.1835 0.5124 gmds_rings = Columns 1 through 13 0 0 14.6393 18.5786 13.0160 15.9330 7.6609 8.8534 10.9839 9.0529 9.6826 6.9496 9.3747 Columns 14 through 22 18.8432 18.7424 11.9358 9.6142 24.1837 9.1844 9.9432 9.0381 a = 5 a = 5 triangle_difference = 0 0 297 523 60 131 133 261 509 482 253 195 134 131 155 121 90 209 115 84 79 53 true gmds_rings_min = Columns 1 through 13 0 0 0 0 0 0 0 0 0 0 true_pairs= [ 0.2001 0.1406 0.1905 0.0570 0.1385 0.2923 0.1289 0.1366 0.2172 0.2574 0.1285 0.1300 0.1939 0.1449 0.2124 0.1137 0.1849 0.2294 0.4033 0.1417 0.1250 0.1408 0.1608 0.0792 ] gmds_rings = Columns 1 through 13 0 0 0 0 0 0 0 0 0 0 true_pairs= [ 12.6561 25.7525 22.0734 24.4493 33.1847 18.2454 18.4340 44.0317 22.2054 12.7480 18.8679 9.3069 19.9315 17.1061 20.1231 22.5244 12.8389 17.2868 36.1751 16.3149 25.8526 13.5694 27.9478 19.0921] gmds_rings_min = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 false_pairs= [ 0.4398 0.3447 0.1708 0.3350 0.3511 0.2750 0.2874 0.2220 0.2532 0.2992 0.2566 0.6050] gmds_rings = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 false_pairs= [ 33.6575 44.9957 32.3470 54.4842 21.3462 33.1771 26.1542 17.1840 36.4529 36.8628 46.1437 ] false local_stress_sum = 1.0e+04 * 0 0 3.7281 3.0236 1.8632 0.7863 1.6123 f_acc = 0 0 3.7281 3.0236 1.8632 0.7863 1.6123 gmds_rings_min = 0 0 3.7281 3.0236 0.8951 0.7863 1.5156 gmds_rings = 0 0 49.9199 38.9647 13.1004 15.7786 gmds_rings_min = Columns 1 through 13 0 0 3.2644 2.9313 0.7225 0.8647 1.2597 0.5088 1.2183 0.6523 0.9943 0.8952 0.8975 Column 14 1.9798 gmds_rings = 0 0 true_pairs= [ 9.4183 7.5569 10.0797 12.2151 9.0969 6.0721 9.0629 8.1211 5.0544] gmds_rings_min = 0 0 0.1871 0.5363 0.5893 0.3785 0.2716 0.2285 0.3043 0.5182 0.2378 gmds_rings = Columns 1 through 13 false_pairs= [ 46.9297 35.8472 10.8124 13.9803 14.8061 13.8763 20.1650 13.3101 17.2569 16.5762 19.7579 21.8896] false Columns 15 through 19 false_pairs=[ 0.4999 0.5200 0.5093 0.6982 1.2502] gmds_rings = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 15 through 19 false_pairs=[ 6.3863 10.0720 22.5436 15.9828 17.0734] true gmds_rings_min = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 15 through 21 true_pairs=[ 0.1847 0.3486 0.2470 0.3919 0.3391 0.2790 0.6932] gmds_rings = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 15 through 21 true_pairs=[ 8.6886 6.4059 15.5715 14.5999 8.8719 10.4166 11.2184] despite the small size of the sample, it does seem to suggest that using a triangulation too dense leads to poor results 15 levels true local_stress_sum = 1.0e+04 * 9.1622 4.5512 2.3663 3.0019 9.3879 5.9039 4.3727 3.3833 9.6020 5.8670 5.7489 f_acc = 1.0180 0.5057 0.2629 0.3335 1.0431 0.6560 0.4859 0.3759 1.0669 0.6519 0.6388 gmds_rings_min = 0.3709 0.4377 0.2629 0.3335 0.4569 0.3352 0.3511 0.3388 0.4293 0.5853 0.3981 gmds_rings = 11.6873 8.8776 8.4364 4.9810 12.9746 7.3458 6.7559 8.4514 9.3693 12.8759 5.2848 false gmds_rings_min = 0.5351 1.0544 0.4569 1.5950 1.2470 4.0536 gmds_rings = 14.2327 16.0696 24.5514 27.0364 18.3180 48.3423 gmds_rings_min = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 0.3287 0.3790 0.6912 0.5018 Columns 15 through 24 0.5276 0.8201 0.8265 0.4945 0.9699 0.6416 1.8094 0.5650 1.7281 0.4007 gmds_rings = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 9.1722 10.8968 12.4535 10.6109 Columns 15 through 24 10.7294 20.8230 20.0734 13.3969 16.3216 16.0709 22.3234 9.3619 44.9866 7.3257 3 levels false gmds_rings_min = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 1.0071 0.8337 1.0019 1.6988 Columns 15 through 21 0.7774 1.2400 0.8792 0.5731 1.3494 1.4486 0.7223 gmds_rings = Columns 1 through 14 0 0 0 0 0 0 0 0 0 0 16.1177 20.2128 21.4827 24.9693 Columns 15 through 21 13.2220 20.0047 14.1836 10.4853 21.6786 18.8707 16.7825 15 levels, 3 dilation levels local_stress_sum = 1.0e+05 * Columns 1 through 14 1.0636 1.2803 0.8498 2.0252 0.7880 1.5565 1.2686 0.8646 0.7791 0.5662 0.8069 0.7397 0.2719 1.7664 Columns 15 through 21 2.0559 1.0439 0.8032 1.4330 1.3188 0.8629 0.2584 f_acc = Columns 1 through 14 1.1818 1.4226 0.9442 2.2503 0.8755 1.7295 1.4095 0.9606 0.8656 0.6291 0.8965 0.8219 0.3021 1.9626 Columns 15 through 21 2.2843 1.1599 0.8924 1.5922 1.4653 0.9588 0.2871 gmds_rings_min = Columns 1 through 14 0.9737 0.8071 0.5010 1.0819 0.8755 1.2385 0.1631 0.2870 0.8656 0.6291 0.2959 0.8219 0.3021 1.9626 Columns 15 through 21 2.1181 1.1599 0.6675 1.5922 1.1312 0.5184 0.2871 gmds_rings = Columns 1 through 14 true_pairs=[ 4.5178 5.0738 2.2164 5.4447 3.9456 4.2198 2.0690 1.8397 8.9860 3.7453 3.4439 2.9939 4.1364 7.0723 6.6292 5.5983 5.0095 6.0439 3.9922 2.4370 3.6218] local_stress_sum = 1.0e+05 * 1.7497 1.9212 5.3122 3.6873 1.0627 1.6777 1.5574 2.7548 2.2948 2.4579 1.5981 f_acc = 1.9442 2.1347 5.9024 4.0970 1.1807 1.8641 1.7305 3.0609 2.5498 2.7310 1.7756 gmds_rings_min = 1.9442 2.1347 5.9024 4.0970 1.0717 1.8641 1.7305 2.3259 2.5498 1.7244 1.7756 gmds_rings = false_pairs=[ 7.3634 7.5784 19.2316 16.8039 4.0252 6.0191 6.1069 7.7847 9.0456 7.0789 ] local_stress_sum = 1.0e+04 * Columns 1 through 14 0.7608 0.5670 1.8120 1.2521 0.2422 0.4293 0.4316 0.6230 0.7178 0.5896 0.4412 0.9480 0.6009 0.5966 Columns 15 through 28 0.2247 0.6869 0.4241 0.5474 1.0327 0.6029 0.4446 0.7133 0.8621 0.7478 0.4406 0.5296 0.6028 0.7053 Columns 29 through 33 0.2962 1.0867 0.4677 0.4400 1.0452 f_acc = Columns 1 through 14 3.0432 2.2680 7.2480 5.0083 0.9690 1.7173 1.7263 2.4921 2.8712 2.3584 1.7649 3.7918 2.4034 2.3866 Columns 15 through 28 0.8987 2.7476 1.6964 2.1897 4.1306 2.4116 1.7785 2.8533 3.4486 2.9912 1.7624 2.1184 2.4111 2.8214 Columns 29 through 33 1.1849 4.3470 1.8708 1.7601 4.1807 gmds_rings_min = Columns 1 through 14 3.0432 2.2680 5.7836 5.0083 0.9690 1.7173 1.7261 2.4921 2.8712 1.9562 1.5149 2.8408 2.4034 2.3866 Columns 15 through 28 0.8987 2.1408 1.6964 2.0510 3.9137 2.4116 1.7785 1.7336 2.7641 2.9912 1.7624 1.9773 2.4111 2.8214 Columns 29 through 33 1.1849 4.3470 1.4787 1.7601 2.3626 gmds_rings = Columns 1 through 14 false_pairs=[ 12.9525 9.7655 23.6286 17.1997 3.9526 6.1552 5.4874 7.7665 9.9135 9.6165 5.5003 9.5051 8.9127 10.1913 4.4247 7.4180 7.2485 8.4441 14.8155 8.3323 6.1497 7.0168 9.1525 15.1264 8.0986 6.1115 9.2370 9.1528 4.2388 14.5903 5.3385 10.1933 11.2478] f_acc = Columns 1 through 14 5.4997 1.6168 0.7085 2.0760 0.8022 1.2723 0.7891 1.0809 1.0527 0.7204 3.6151 0.5006 0.6292 3.1319 Columns 15 through 28 1.9595 1.3086 1.5415 1.7148 1.0669 0.6169 0.3290 0.4121 0.8407 1.0089 0.6239 1.0225 1.2218 0.4959 Columns 29 through 42 4.0727 1.5270 1.3636 1.2233 2.0717 0.8497 1.9719 1.9067 4.4747 1.6653 0.5727 1.5766 3.7905 0.7412 Columns 43 through 56 1.4579 3.6729 1.3761 0.9611 1.0673 2.6040 3.5141 3.6126 0.6730 8.6216 0.6798 0.2220 0.5200 2.7543 Columns 57 through 70 2.2794 0.8992 1.4673 0.8548 1.4043 3.4567 1.1212 0.4611 0.7067 0.5358 2.2922 0.8244 5.3081 1.0291 Columns 71 through 84 0.8711 1.9369 4.3457 2.7791 2.1628 1.3882 4.0153 1.3685 0.4962 0.5606 1.8471 0.7617 1.9844 4.7742 Columns 85 through 98 0.6592 1.6250 1.7989 1.8033 0.9320 1.1810 0.2843 2.6094 2.5335 0.9479 0.5683 0.4496 3.0346 1.4430 Columns 99 through 112 4.7147 4.8381 3.3676 3.8759 2.5151 1.5340 5.6042 0.2853 4.6287 4.7095 2.6220 1.2208 1.3619 0.8516 Column 113 3.5733 gmds_rings_min = Columns 1 through 14 1.8537 1.6168 0.4410 0.9989 0.8022 0.4175 0.1648 1.0809 1.0527 0.7204 0.2584 0.5006 0.6292 1.7221 Columns 15 through 28 1.3771 0.6217 0.6150 1.4119 0.9629 0.6169 0.3290 0.4121 0.8407 0.8116 0.6239 0.6856 0.8094 0.4959 Columns 29 through 42 1.8465 1.3665 0.3091 1.2233 2.0717 0.8497 1.9719 1.0200 0.4577 1.6653 0.5727 0.3393 1.0056 0.4025 Columns 43 through 56 0.7044 3.0830 0.9089 0.9611 1.0673 1.7625 2.6426 1.8088 0.6730 0.8400 0.6798 0.2220 0.5200 1.6057 Columns 57 through 70 0.9921 0.8992 1.4673 0.8548 1.2122 2.5044 0.9855 0.4611 0.4463 0.5358 0.7242 0.6350 0.6871 1.0291 Columns 71 through 84 0.2002 1.8449 3.7797 2.1122 2.1628 1.2951 0.7731 0.8345 0.4962 0.5606 0.3960 0.5177 1.8610 4.7742 Columns 85 through 98 0.6592 1.6250 1.1954 1.8033 0.9320 1.1810 0.2843 1.0871 0.6781 0.2635 0.2727 0.4496 2.5982 1.4430 Columns 99 through 112 4.7147 4.1022 2.1146 1.5452 1.3151 0.5857 1.8722 0.2853 1.0708 0.8390 1.5781 0.6701 1.3619 0.8249 Column 113 1.2141 gmds_rings = Columns 1 through 14 true_pairs=[ 9.7952 7.3309 2.7189 5.0297 5.7937 5.5363 2.0851 7.5586 4.9794 3.8457 7.8325 4.0530 5.5972 6.6069 5.6383 3.7754 2.9376 5.3595 3.0281 3.5104 1.8971 1.7717 3.7811 4.2539 2.9105 2.4681 3.1343 2.2672 8.1805 4.7123 2.6310 4.7674 14.0896 4.2873 11.7411 6.0814 6.4815 6.4936 3.2063 2.3811 7.0851 1.7325 3.0765 14.3215 3.9861 13.9760 10.3462 6.5257 13.4297 8.9570 4.3159 10.5506 2.5916 2.9673 3.4001 7.7059 4.2980 6.3183 4.6182 3.0120 4.9813 8.8489 6.7360 2.3151 1.9524 2.6049 4.0728 2.4031 6.8709 4.2798 1.8111 6.1310 12.2025 7.3457 8.9206 4.1618 9.0530 8.8049 4.7734 2.5977 4.7383 2.4321 6.3987 18.1828 3.6237 5.8961 4.6550 5.7966 4.1651 4.1606 2.8600 5.2905 4.5752 1.6858 1.9839 1.5308 9.3848 9.7039 18.4469 21.7876 8.3464 7.2356 5.9768 3.6972 12.4425 6.2471 9.2300 10.0121 5.8918 5.4907 8.9776 2.6379 9.4190] local_stress_sum = 1.0e+03 * 3.1598 3.4173 1.9193 2.1279 1.6750 1.8164 1.1128 1.2812 2.7131 3.9152 f_acc = 1.2639 1.3669 0.7677 0.8512 0.6700 0.7266 0.4451 0.5125 1.0853 1.5661 gmds_rings_min = 1.2389 0.6550 0.2929 0.7918 0.6700 0.7266 0.4451 0.5125 1.0853 1.4670 gmds_rings = true_pairs=[ 10.6015 2.7829 1.5900 3.2153 3.1025 3.1928 1.8266 3.3568 4.8617 4.7449 6.0654 2.4048 3.6085 4.8630 3.0025 2.4098 1.5992 1.0336 2.4392 9.8635 2.8329 6.1482 3.0829 3.3382 6.3045 3.5177 2.1880 1.2583] f_acc = Columns 1 through 14 4.3086 4.9187 5.5469 2.7670 1.7658 1.5033 0.6736 2.7935 2.1817 2.4852 1.8248 1.7491 0.8934 3.1725 Columns 15 through 28 1.8349 1.8729 1.9397 1.1752 1.2128 3.5051 1.1919 1.1210 2.4438 4.6121 2.8758 0.6532 1.4277 1.8972 Columns 29 through 42 1.0368 1.3398 0.8189 1.6465 1.9936 3.3827 3.2007 1.3842 0.9187 1.0212 0.8190 1.8461 0.6256 0.7533 Columns 43 through 46 0.7974 1.8576 1.0774 5.5048 gmds_rings_min = Columns 1 through 14 4.3086 2.5877 4.7928 2.7670 0.9454 1.5033 0.6587 2.7935 2.1817 2.3508 1.4731 1.1769 0.8934 2.3095 Columns 15 through 28 1.4994 1.8228 1.7815 0.5489 1.2128 1.5433 1.1919 0.6711 2.4438 4.6121 2.7365 0.6532 1.4023 1.8972 Columns 29 through 42 1.0368 1.0195 0.8189 1.1190 1.9006 0.7448 3.2007 1.2074 0.9187 0.7516 0.5809 0.7986 0.4749 0.7533 Columns 43 through 46 0.4215 1.8576 1.0774 3.8756 gmds_rings = Columns 1 through 14 false_pairs=[ 16.2585 10.3806 15.4269 9.3138 5.8668 5.1479 7.2069 9.5506 9.6452 7.2319 13.2654 4.8390 10.1372 22.9330 5.6144 34.0899 6.1134 2.3563 8.4665 9.7429 4.9792 4.1727 9.1358 23.6113 8.4925 2.7895 4.3782 6.9442 4.7015 3.6493 4.9094 4.1652 5.9900 5.7115 19.6209 4.1857 3.7205 2.7336 2.5558 7.0690 1.8370 8.1256 3.1365 7.0109 7.3743 15.0830] many rings, many points true_pairs=[ 19.3456 9.3285 11.2996 16.6216 11.1280 6.8090 6.6347 9.3308 8.3558 14.3251 10.0381 11.3038 10.9047 10.0000 19.8802 13.2364 9.1278 16.6973 20.1141 12.9713 22.4979 18.3511 14.7399 13.4011 9.1450 10.7834 13.5802 7.0040 12.3856 27.2171 11.5014 20.7473 24.2169 21.8588 20.1846 20.9445 ] false_pairs=[ 17.3753 28.5500 17.5788 12.9960 29.6640 29.6502 22.3749 19.2872 24.7745 45.1940 20.2671 22.6442 27.5180 27.0500 18.5737 44.6864 18.8798 26.7008 17.6476 29.8662 17.3019 9.8708 17.1852 17.8084 14.2480 23.9580 11.6434 13.6922 9.5466 28.7421 18.6604 25.8483] true_pairs=[ 0.9279 0.6684 0.2517 0.4595 0.4816 0.3194 0.4551 0.5155 0.2475 0.5722 0.4734 0.4410 0.6837 0.2885 1.6258 0.5816 0.4234 0.8404 0.6073 0.3020 0.3985 0.5919 0.6344 0.3083 0.4284 0.2552 0.9147 0.5415 0.5403 1.5712 0.3993 0.6680 1.3685 3.4743 0.6031 1.4001 0.2188 0.3792 0.2779 0.1857 0.3965 0.2980 0.6842 0.3824 ] false_pairs=[ 1.6744 1.8534 1.3025 0.3592 2.6203 5.3382 1.1232 1.1503 5.4617 2.6616 1.2427 0.5645 0.7351 1.1039 0.9185 2.8324 1.0178 1.0711 0.6568 0.8349 3.6647 0.8662 0.5408 0.5795 1.6300 2.9635 0.5939 1.2680 0.5114 1.0024 2.6979 2.5142] true_pairs=[228 129 160 275 100 51 58 120 41 179 606 633 554 100 79 191 427 293 83 251 192 113 154 320 95 39 116 250 401 224 169 416 472 412 91 41 130 364 413 223 159 253 111 89 272 490 143 249 277 137 153 162] false_pairs=[ 506 510 254 286 365 450 321 661 813 41 161 302 483 65 77 357 884 1141 171 387 69 508 291 266 309 871 240 121 203 71 646 188] true_pairs=[ 1.7545 0.6887 0.3854 1.2740 1.0222 0.3295 0.3274 0.5158 0.3916 0.7697 0.4887 0.6045 0.7141 0.6411 1.2533 0.6440 0.4658 0.9446 0.4891 0.6780 0.5961 0.7075 0.5732 0.8053 0.5387 0.3758 0.6452 0.5714 0.8349 0.7884 0.5829 0.8092 1.3077 1.4280 0.8592 1.1030 0.2858 1.1065 0.7003 0.4057 0.7277 0.5003 0.5189 0.3510 1.2643 0.8673 1.0116 0.8267 0.5398 0.4803 0.4360 0.4087] false_pairs=[ 1.2704 2.1615 1.2840 0.6718 2.2149 1.9277 1.4291 1.3213 2.2085 2.2560 1.6912 1.6501 1.8725 1.7685 0.6257 3.1436 1.2848 1.8543 1.2682 1.9506 0.9791 0.5449 1.3800 0.9190 0.7504 1.9027 0.7837 0.7734 0.5534 2.0142 1.0277 2.3540] true_pairs=[ 2.3726 0.8472 0.3854 1.2740 1.2049 0.7157 0.6565 0.6328 0.3916 0.7697 0.6028 0.6222 0.7141 0.9524 1.2533 0.6440 0.6319 1.3056 0.4891 0.6780 0.5961 1.4601 0.5732 0.8053 0.7621 0.7374 0.9220 0.5714 1.0255 0.9614 0.8638 1.1621 1.3077 1.4280 1.2498 1.1856 0.4056 1.1284 0.9169 1.3496 0.9465 0.6393 0.5189 1.1370 1.2647 1.2655 1.0352 1.0482 0.6747 1.2595] false_pairs=[ 1.3346 2.1615 1.2840 0.8972 3.1071 2.0827 1.7165 1.3213 2.3315 2.2560 1.6912 1.8628 1.8725 1.7685 0.8235 3.5127 1.2848 2.1833 1.2682 1.9506 1.4890 0.5449 1.5498 0.9659 0.7504 1.9027 1.6913 1.6673 1.2715 2.0142 2.6479 1.5024] \ 1.864757e+02 Coarse correspondence Subsampling surface X... points = 8 radius = 65.463291 Subsampling surface Y... points = 18 radius = 34.690353 Computing best correspondence... Running B&B algorithm, bound = 12.987233... Corresponding points 8 L2 distortion 12.218291 Generalized Multidimensional Scaling Solver Samples 300 Levels 10 Distortion L2 Solving... Level 1 : points = 8 stress = 3.317988 RMS = 1.821534 iter = 2 Level 2 : points = 12 stress = 2.792027 RMS = 1.670936 iter = 2 Level 3 : points = 18 stress = 2.243944 RMS = 1.497980 iter = 2 Level 4 : points = 27 stress = 2.576487 RMS = 1.605144 iter = 2 Level 5 : points = 40 stress = 2.209311 RMS = 1.486375 iter = 2 Level 6 : points = 60 stress = 2.079341 RMS = 1.441992 iter = 2 Level 7 : points = 90 stress = 2.089740 RMS = 1.445593 iter = 2 Level 8 : points = 134 stress = 2.033218 RMS = 1.425910 iter = 2 Level 9 : points = 201 stress = 2.055078 RMS = 1.433554 iter = 2 Level 10 : points = 300 stress = 1.927750 RMS = 1.388434 iter = 2 Optimization terminated. RMS distortion = 1.388434 0.0075*diam(X) 0.0074*diam(Y) Max. distortion = 6.117182 0.0329*diam(X) 0.0328*diam(Y) local_stress_sum = 1.0e+05 * Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.2012 1.9453 1.1556 Columns 18 through 20 0.8075 2.7964 1.7350 f_acc = Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.3346 2.1615 1.2840 Columns 18 through 20 0.8972 3.1071 1.9277 gmds_rings_min = Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.2704 2.1615 1.2840 Columns 18 through 20 0.6718 2.2149 1.9277 gmds_rings = Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 7.9139 13.7357 8.8355 Columns 18 through 20 5.7568 16.2782 10.3454 7 f_acc = Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.1766 1.5581 1.3378 Column 18 1.4608 gmds_rings_min = Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.7112 1.0627 0.3376 Column 18 1.2577 gmds_rings = Columns 1 through 17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 10.4632 6.1780 4.5934 Column 18 6.0020