文件名称:sift_ImageProcessing
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- 上传时间:2012-11-16
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文件大小:433.03kb
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sift特征点检测及图像拼接,matlab7.0实现的,我从别人那里整过来的,测试的话,用在matlab里面直接调用match( b1.jpg , b2.jpg )即可,我测试成功,里面也有说明文档,为了科研,共享,希望大家有好的代码都0分共享,与己方便,与人方便,中国科研才会发展更迅速-sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will
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下载文件列表
match.c
match.m
normalise2dpts.m
normalise.m
randomsample.m
ransac.m
ransacfithomographys.m
README
showkeys.m
sift
sift.asv
sift.m
siftWin32.exe
tmp.key
tmp.pgm
transformImage.asv
transformImage.m
util.c
100-0023_img.jpg
100-0024_img.jpg
appendimages.m
b1.jpg
b2.jpg
b3.jpg
bounds.m
defs.h
exam1.asv
exam.m
hnormalise.m
homogdist2d.m
homography2d.m
homoTrans.m
imTrans.asv
imTrans.m
iscolinear.m
isdegenerate.m
LICENSE
Makefile
match.asv
match.m
normalise2dpts.m
normalise.m
randomsample.m
ransac.m
ransacfithomographys.m
README
showkeys.m
sift
sift.asv
sift.m
siftWin32.exe
tmp.key
tmp.pgm
transformImage.asv
transformImage.m
util.c
100-0023_img.jpg
100-0024_img.jpg
appendimages.m
b1.jpg
b2.jpg
b3.jpg
bounds.m
defs.h
exam1.asv
exam.m
hnormalise.m
homogdist2d.m
homography2d.m
homoTrans.m
imTrans.asv
imTrans.m
iscolinear.m
isdegenerate.m
LICENSE
Makefile
match.asv
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