do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space do_localmax: local extrema as the potential keypoints do_extrefine: refine the keypoints by discarding the ones with low contrast and along an edge do_orientation: compute the orientation of a support region of keypoint do_descriptor: compute the descriptor of a keypoint based on image gradients. do_match: match two images based on the nearest neighbor principle and spatial consistency. do_sift: generate the SIFT descriptors for a given input image. It basically s all the functions above.

SIFT_YantaoNoemie\demo-data\image068.JPG
.................\.........\image069.JPG
.................\.........\object0024.view01.png
.................\.........\object0024.view03.png
.................\.........\Thumbs.db
.................\..scriptor\do_descriptor.m
.................\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
.................\main.m
.................\..tch\do_match.asv
.................\.....\do_match.m
.................\orientation\do_orientation.m
.................\README.txt
.................\README.txt.bak
.................\scale-space\do_diffofg.m
.................\...........\do_gaussian.m
.................\...........\smooth.m
.................\sift_demo.m
.................\util\appendimages.m
.................\....\imreadbw.m
.................\....\plotsiftdescriptor.asv
.................\....\plotsiftframe.m
.................\....\plotss.m
.................\....\tightsubplot.m
.................\demo-data
.................\descriptor
.................\key-location
.................\match
.................\orientation
.................\scale-space
.................\util
SIFT_YantaoNoemie

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