Image correspondences using cross-correlation

Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding cross-correlation with the other image, and find a peak. This submission supplies a class which implements this method.There are many other ways of finding correspondences, but normalised cross-correlation is relatively easy to understand, and fairly effective if a sparse set of matches is sufficient and the change in viewpoint is not too large. Th

Contents.m
convolve2.m
correlCorresp.m
correspDemo.m
correspDisplay.m
correspEdgeDisplay.m
corrpeak.m
exindex.m
findpeaks.m
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correspDemo.html
correspDemo.png
correspDemo_01.png
correspDemo_02.png
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imtransform_same.m
license.txt
max2.m
maze1.png
maze2.png
patch_std.m
patch_var.m
setProps.m
varPeaks.m