Based on SIFT image matching registration, the code is easy to use, the annotation is simple and easy to understand, and the same name points can be extracted for matching registration.

Filename	Size	Update
基于SIFT特征的图像配准（Matlab源代码）\im1.mat	9286147	2018-11-29
基于SIFT特征的图像配准（Matlab源代码）\im2.mat	15357756	2018-11-29
基于SIFT特征的图像配准（Matlab源代码）\siftWin32.exe	94208	2005-07-07
基于SIFT特征的图像配准（Matlab源代码）\x2gray.m	134	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_appendingImages.m	455	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_BidirectionalMatch.m	848	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_drawPoints.m	201	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_drawRotAglHist.m	195	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_getRotAgl.m	104	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_getTransMat.m	1162	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_imRegist.m	1521	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_linePoints.m	479	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_main.m	692	2019-06-05
基于SIFT特征的图像配准（Matlab源代码）\zoo_optIndex.m	334	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_sift.m	1925	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\zoo_x2gray.m	138	2015-10-22
基于SIFT特征的图像配准（Matlab源代码）\重点.txt	0	2018-11-02
基于SIFT特征的图像配准（Matlab源代码）	0	2019-06-06

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