PCA-SIFT

所属分类:系统编程
开发工具:Visual C++
文件大小:674KB
下载次数:168
上传日期:2010-01-05 09:55:24
上 传 者woshiqingfeng
说明:  一个基于matlab语言的编程,可以实现对人脸的识别算法
(A matlab-based programming language can be achieved on the human face recognition algorithm)

文件列表:
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\configure.ac (573, 2004-03-22)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\aclocal.m4 (31538, 2007-08-29)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\gpcavects.txt (1806948, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\Doxyfile (7843, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\Makefile.am (716, 2007-08-29)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\Makefile.in (20571, 2007-08-29)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\config.h.in (557, 2007-08-29)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\configure (144899, 2007-08-29)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\AUTHORS (19, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\COPYING (1887, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\ChangeLog (0, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\INSTALL (9236, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\NEWS (0, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\depcomp (12123, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\install-sh (5569, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\missing (10270, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\mkinstalldirs (1801, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\gathergrads.cc (1473, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\keypoint.cc (18019, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\keypoint.h (6915, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\image.cc (10435, 2007-08-29)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\image.h (3224, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\getpatches.cc (921, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\recalckeys.cc (795, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\training\ploteigs.m (365, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\training\pca.m (559, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\training\pcag.m (627, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\training\ploteigs2.m (571, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\training\runpca.m (180, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\training\readeigs.m (227, 2004-04-23)
PCA-SIFT\training-matlab\training\ploteigs.m (365, 2004-04-23)
PCA-SIFT\training-matlab\training\pca.m (559, 2004-04-23)
PCA-SIFT\training-matlab\training\pcag.m (627, 2004-04-23)
PCA-SIFT\training-matlab\training\ploteigs2.m (571, 2004-04-23)
PCA-SIFT\training-matlab\training\runpca.m (180, 2004-04-23)
PCA-SIFT\training-matlab\training\readeigs.m (227, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd\docs (0, 2009-12-18)
PCA-SIFT\pcasift-0.91nd\pcasift-0.91nd (0, 2009-12-18)
... ...

PCA-SIFT by Yan Ke This code implements the PCA-SIFT algorithm. Interest point detection code must be obtained separately. Any scale and orientation invariant interest point detector will work. Interest point representation is done through PCA gradient vectors. Given an image in PGM format, outputs keypoints in ascii text. The format is (mostly) compatible with David Lowe's keypoint format. Use mod_lowe_demoV2.tar.gz to detect keypoints and match results. Usage: ./keypoints < image1.pgm > image1.lkeys ./keypoints < image2.pgm > image2.lkeys ./recalckeys gpcavects.txt image1.pgm image1.lkeys image1.pkeys ./recalckeys gpcavects.txt image2.pgm image2.lkeys image2.pkeys ./match -im1 image1.pgm -k1 image1.pkeys -im2 image2.pgm -k2 image2.pkeys > out.pgm "keypoints" and "match" can be found in mod_lowe_demoV2.tar.gz For more information, visit: http://www.cs.cmu.edu/~yke/pcasift/

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