文件名称:SIFT_YantaoNoemie
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1.29mb
- 下载次数：
- 0次
- 提 供 者：
- 杨**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
sift算法 图像处理 尺度无关特征转换 matlabSIFT算法的主要思想是在尺度空间寻找极值点，然后对极值点进行过滤，找出稳定的特征点。最后在每个稳定的特征点周围提取图像的局部特性，形成局部描述子并将其用在以后的匹配中.-Scale Invariant Feature Transform (SIFT) is an
approach for detecting and extracting local feature
descr iptors that are reasonably invariant to changes in
illumination, image noise, rotation, scaling, and small
changes in viewpoint.
approach for detecting and extracting local feature
descr iptors that are reasonably invariant to changes in
illumination, image noise, rotation, scaling, and small
changes in viewpoint.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SIFT_YantaoNoemie.1\demo-data\beaver11.bmp
...................\.........\beaver13.bmp
...................\.........\image068.JPG
...................\.........\image069.JPG
...................\.........\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
...................\.........\beaver13.bmp
...................\.........\image068.JPG
...................\.........\image069.JPG
...................\.........\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