Description: SIFT feature detection algorithm is an effective method of image features, rotate, scale, the light changes robustness。
- [FaceDetection] - face detection Face detection can be reg
- [HarrisCorner] - Use harris corner-detector to extract th
- [newsift] - MFC Sift feature point extraction, match
- [SIFT] - sift of moment invariants in the applica
- [WMI_MAC] - Get mac with wmiGet mac with wmiGet mac
- [pugixml-0.5] - a good xml parser which support XPath
- [SIFT_different_area] - my original SIFT algorithm.It can do wit
File list (Check if you may need any files):
Mysift\beaver.sift
......\1.bmp
......\image_2.jpg
......\imag.jpg
......\MainFrm.cpp
......\MainFrm.h
......\lena.jpg
......\Mysift.clw
......\Mysift.cpp
......\Mysift.opt
......\Mysift.dsw
......\Mysift.h
......\Mysift.ncb
......\Mysift.dsp
......\Mysift.plg
......\MysiftDoc.cpp
......\MysiftDoc.h
......\ReadMe.txt
......\MysiftView.cpp
......\StdAfx.cpp
......\StdAfx.h
......\res\Mysift.ico
......\...\Mysift.rc2
......\...\MysiftDoc.ico
......\...\Toolbar.bmp
......\MysiftView.h
......\Resource.h
......\Mysift.aps
......\Mysift.rc
......\utils.cpp
......\imgfeatures.cpp
......\utils.h
......\Debug\Mysift.bsc
......\.....\sift1.sbr
......\.....\sift1.obj
......\.....\Mysift.res
......\.....\vc60.idb
......\.....\Mysift.pch
......\.....\vc60.pdb
......\.....\StdAfx.sbr
......\.....\StdAfx.obj
......\.....\imgfeatures.sbr
......\.....\MainFrm.sbr
......\.....\Mysift.sbr
......\.....\MysiftDoc.sbr
......\.....\MysiftView.sbr
......\.....\utils.sbr
......\.....\sift.sbr
......\.....\sift.obj
......\.....\utils.obj
......\.....\MysiftDoc.obj
......\.....\Mysift.obj
......\.....\MainFrm.obj
......\.....\imgfeatures.obj
......\.....\Mysift.ilk
......\.....\Mysift.exe
......\.....\Mysift.pdb
......\.....\MysiftView.obj
......\imgfeatures.h
......\sift.h
......\sift.cpp
......\beaver.png
......\1.sift
......\res
......\Debug
Mysift
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