Harris adopted a new method of determining the corner. Matrix M of two feature vectors l1 and l2 with the matrix M is proportional to the principal curvatures. Harris use l1, l2 to characterize changes in the fastest and slowest in two directions. If both are great that corner, a little is a big edge, both small change is slow in the image area.

corner\An implementation of Loy and Zelinski's fast radial feature detector\fastradial.m
......\....................................................................\test.m
......\....................................................................\未命名.bmp
......\harris和非最大抑制\harris.m
......\..................\nonmaxsuppts.m
......\readme.txt
......\单向gabor滤波\spatialgabor.m
......\用于边缘和角点检测的相位一致性代码－－不是角点检测，而是残生边缘和角点的强度图像\lowpassfilter.m
......\................................................................................\m.bmp
......\................................................................................\MM.bmp
......\................................................................................\phasecong2.m
......\................................................................................\test.m
......\An implementation of Loy and Zelinski's fast radial feature detector
......\harris和非最大抑制
......\单向gabor滤波
......\用于边缘和角点检测的相位一致性代码－－不是角点检测，而是残生边缘和角点的强度图像
corner

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