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Wednesday, April 25th, 2012, 6:36 pm

Failed Attempts to Use Pattern Recognition Methods for Points Selection

We (myself and colleagues, especially myself) are unable to get good performance by edge detection and other ordinary means, especially because in 3-D things are more fuzzy. We will try normals again in the coming days.

I have been trying long and hard to vary parameters and tinker with what’s available in the image in order to place points at edges and corners, but the performance is never better than when ICP is used to put the points at the same location on the grid (after alignment by ICP of course).

Image 1:

Image 2:

I have been working to compare and assess how using inner circles/rings would improve our older implementation which mostly judges similarity based on outer circles/rings. This test can be improved a lot by choosing more points, but it will take time to get the results.

Image 3:

Image 4:

Departing back to older methods which use one single criterion for verification and also use coarse sampling of the surface, performance is not encouraging; but the next step will to be an attempt to use surface normals or another bit of information which can be derived from the surface alone.

Image 1: Results of a coarse approach tested on ~400 pairs.

Image 2: Example of a pair of images.

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