Source Code / Image correspondences using cross-correlation
Image correspondences using cross-correlation
2016-08-23
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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. This submission is intended largely as a learning aid, though it may be usable for some applications. A demonstration script is th
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