PCA-SIFT

所属分类:matlab编程
开发工具:matlab
文件大小:668KB
下载次数:62
上传日期:2012-10-19 22:35:27
上 传 者f3169450
说明:  PCA 降维 有代码可以运行的哦 亲 PCA 降维 有代码可以运行的哦 亲 PCA 降维 有代码可以运行的哦 亲
(The code of PCA)

文件列表:
PCA-SIFT\pcasift-0.91nd\gpcavects.txt (1806948, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\Doxyfile (7843, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\Makefile.in (19361, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\configure (142154, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\AUTHORS (19, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\COPYING (1887, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\ChangeLog (0, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\INSTALL (9236, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\Makefile.am (713, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\NEWS (0, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\aclocal.m4 (31962, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\config.h.in (557, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\configure.ac (573, 2004-03-22)
PCA-SIFT\pcasift-0.91nd\depcomp (12123, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\install-sh (5569, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\missing (10270, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\mkinstalldirs (1801, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\gathergrads.cc (1473, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\keypoint.cc (18019, 2004-06-06)
PCA-SIFT\pcasift-0.91nd\keypoint.h (6915, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\image.cc (10435, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\image.h (3224, 2004-01-27)
PCA-SIFT\pcasift-0.91nd\getpatches.cc (921, 2004-04-23)
PCA-SIFT\pcasift-0.91nd\recalckeys.cc (795, 2004-01-27)
PCA-SIFT\pcasift-0.91nd (0, 2006-03-30)
PCA-SIFT\training\ploteigs.m (365, 2004-04-23)
PCA-SIFT\training\pca.m (559, 2004-04-23)
PCA-SIFT\training\pcag.m (627, 2004-04-23)
PCA-SIFT\training\ploteigs2.m (571, 2004-04-23)
PCA-SIFT\training\runpca.m (180, 2004-04-23)
PCA-SIFT\training\readeigs.m (227, 2004-04-23)
PCA-SIFT\training (0, 2006-03-30)
PCA-SIFT (0, 2007-06-20)

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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