3.1 Shuffle Distance

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3.1 Shuffle Distance

Change illustrative figures that are the same so that they appear distinct.

$\includegraphics[% scale=0.4]{EPS/exp_C5_model.eps}$

Figure x:

Similar to MICCAI

Cannot tell the difference of the 15 models (neither can you?, send 16 pictures). Algorithm can. Added CPS from 0 to 15. Existing CPS stayed in place, maybe try more in future and see plots trend.

$\includegraphics[% scale=0.4]{EPS/face_model_cps_5.eps}$

Figure x: First mode of 5 cps

$\includegraphics[% scale=0.4]{EPS/face_model_cps_10.eps}$

Figure x: First mode of 10 cps

$\includegraphics[% scale=0.4]{EPS/face_model_cps_15.eps}$

Figure x: First mode of 15 cps

$\includegraphics[% scale=0.3]{EPS/gen_cps_warped_faces.eps}$ $\includegraphics[% scale=0.3]{EPS/spec_cps_warped_faces.eps}$

Figure x:

$\includegraphics[% scale=0.4]{EPS/model_cps_0.eps}$

Figure x: Model built from correctly-annotated images

$\includegraphics[% scale=0.4]{EPS/model_cps_3.eps}$

Figure x: Model built from correctly-annotated images with each image affected by 3 warps

$\includegraphics[% scale=0.4]{EPS/model_cps_6.eps}$

Figure x: Model built from correctly-annotated images with each image affected by 6 warps

$\includegraphics[% scale=0.35]{EPS/spec_cps_warped_brains_MICCAI_2005.eps}$ $\includegraphics[% scale=0.37]{EPS/gen_cps_warped_brains_MICCAI_2005.eps}$

Figure x: Generalisability and Specificity of models with an increasing amount of deformation

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Roy Schestowitz 平成17年6月23日