资 源 简 介
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
文 件 列 表
Contents.m
convolve2.m
correlCorresp.m
correspDemo.m
correspDisplay.m
correspEdgeDisplay.m
corrpeak.m
exindex.m
findpeaks.m
html
correspDemo.html
correspDemo.png
correspDemo_01.png
correspDemo_02.png
correspDemo_03.png
correspDemo_04.png
correspDemo_05.png
correspDemo_06.png
correspDemo_07.png
correspDemo_08.png
correspDemo_09.png
correspDemo_10.png
correspDemo_11.png
correspDemo_12.png
correspDemo_13.png
correspDemo_14.png
correspDemo_15.png
correspDemo_16.png
correspDemo_17.png
correspDemo_18.png
imtransform_same.m
license.txt
max2.m
maze1.png
maze2.png
patch_std.m
patch_var.m
setProps.m
varPeaks.m
