SIFT特征提取特征匹配

MATLAB实现图像的SIFT特征提取,不同视角下的特征匹配 FUNCTIONS The implementation consists of the following functions. They are organized in the folders based on the functionality.  These functions are self-contained and can be utilized independently.  do_gaussian: generate Gaussian scale space of input image do_diffofg: generate Difference of Gaussian (DoG) scale space  do_localmax: select 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 executes all the functions above. 

util
appendimages.m
imreadbw.m
plotsiftframe.m
plotss.m
tightsubplot.m
scale-space
do_diffofg.m
do_gaussian.m
smooth.m
orientation
do_orientation.m
match
do_match.asv
do_match.m
key-location
do_extrefine.m
do_localmax.m
descriptor
do_descriptor.asv
do_descriptor.m
demo-data
beaver11.bmp
beaver13.bmp
image068.JPG
image069.JPG
view01.png
view02.png
do_demo_1.m
do_demo_2.m
do_demo_3.m
do_demo_4.m
do_sift.m
main.m
README.txt
sift_demo.m