lbp-face-recognition

所属分类:matlab编程
开发工具:matlab
文件大小:48KB
下载次数:58
上传日期:2013-12-09 15:55:34
上 传 者yqyenen
说明:  运用matlab,LBP分割脸部特征,从而达到识别人物面部表情的效果
(Use matlab, LBP split facial features, so as to identify the effect of facial expressions)

文件列表:
lbp face recognition\amfg07\02463d254.pgm (19515, 2008-10-15)
lbp face recognition\amfg07\02463d282.pgm (19515, 2008-10-15)
lbp face recognition\amfg07\contents.m (1537, 2008-10-15)
lbp face recognition\amfg07\demo.asv (4241, 2008-10-15)
lbp face recognition\amfg07\demo.m (4267, 2008-10-15)
lbp face recognition\amfg07\dist_chi2.m (806, 2008-10-15)
lbp face recognition\amfg07\dist_lbp_disttrans.m (2557, 2008-10-15)
lbp face recognition\amfg07\fftcoord.m (435, 2008-10-15)
lbp face recognition\amfg07\gauss.m (125, 2008-10-15)
lbp face recognition\amfg07\gaussianfilter.m (507, 2008-10-15)
lbp face recognition\amfg07\is_uniform_pattern.m (236, 2008-10-15)
lbp face recognition\amfg07\lbp_histo.m (149, 2008-10-15)
lbp face recognition\amfg07\lbp_image.m (1081, 2008-10-15)
lbp face recognition\amfg07\lbp_image_set0.m (327, 2008-10-15)
lbp face recognition\amfg07\lbp_image_set2.m (828, 2008-10-15)
lbp face recognition\amfg07\LICENSE.txt (23211, 2008-10-15)
lbp face recognition\amfg07\ltp_image.m (1287, 2008-10-15)
lbp face recognition\amfg07\ltp_image_set0.m (287, 2008-10-15)
lbp face recognition\amfg07\ltp_image_set2.m (790, 2008-10-15)
lbp face recognition\amfg07\mask.mat (845, 2008-10-15)
lbp face recognition\amfg07\my_pre.asv (2116, 2008-10-15)
lbp face recognition\amfg07\my_pre.m (2281, 2008-10-15)
lbp face recognition\amfg07\my_pre_uniqueIM.asv (2281, 2008-10-15)
lbp face recognition\amfg07\my_pre_uniqueIM.m (2227, 2008-10-15)
lbp face recognition\amfg07\preproc2.m (4330, 2008-10-15)
lbp face recognition\amfg07\uniform_pattern.m (406, 2008-10-15)
lbp face recognition\amfg07 (0, 2013-09-26)
lbp face recognition (0, 2013-12-08)

This package contains the Matlab implementation of our face preprocessing pipeline, local ternary pattern feature set and distance transform-based similarity metric. See the following two papers for details: [1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'07),LNCS 4778, pp.168-182, 2007. [2] X.Tan and B.Triggs. Fusing Gabor and LBP Feature Sets for Kernel-based Face Recognition, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG'07),,LNCS 4778, pp.235-249, 2007. To start, run demo.m. Also refer to contents.m for a brief description of the files in this directory. If you only want the preprocessing routine it is in preproc2.m. Xiaoyang Tan Bill Triggs Laboratoire Jean Kuntzmann and INRIA, Grenoble, France 17 September 2007

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