Scale Invariant Feature Transform (SIFT) is an approach for detecting and extracting local feature descriptors that are reasonably invariant to changes in illumination, image noise, rotation, scaling, and small changes in viewpoint.

SIFT_YantaoNoemie.1\demo-data\beaver11.bmp
...................\.........\beaver13.bmp
...................\.........\image068.JPG
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...................\.........\object0024.view01.png
...................\.........\object0024.view03.png
...................\.........\Thumbs.db
...................\demo-data
...................\..scriptor\do_descriptor.m
...................\descriptor
...................\do_demo_1.m
...................\do_demo_2.asv
...................\do_demo_2.m
...................\do_demo_3.m
...................\do_demo_4.m
...................\do_sift.m
...................\key-location\do_extrefine.m
...................\............\do_localmax.asv
...................\............\do_localmax.m
...................\key-location
...................\main.m
...................\..tch\do_match.asv
...................\.....\do_match.m
...................\match
...................\orientation\do_orientation.m
...................\orientation
...................\README.txt
...................\README.txt.bak
...................\scale-space\do_diffofg.m
...................\...........\do_gaussian.m
...................\...........\smooth.m
...................\scale-space
...................\sift_demo.m
...................\util\appendimages.m
...................\....\imreadbw.m
...................\....\plotsiftdescriptor.asv
...................\....\plotsiftframe.m
...................\....\plotss.m
...................\....\tightsubplot.m
...................\util
SIFT_YantaoNoemie.1

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