文件名称：matlab人脸识别源代
文件大小：43KB
文件格式：RAR
更新时间：2013-05-03 10:37:31
人脸识别
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
【文件预览】：
人脸识别 - 副本
----ltp_image.m(1KB)
----02463d254.pgm(19KB)
----gaussianfilter.m(507B)
----lbp_histo.m(149B)
----is_uniform_pattern.m(236B)
----dist_lbp_disttrans.m(2KB)
----demo.m(4KB)
----dist_chi2.m(806B)
----uniform_pattern.m(406B)
----preproc2.m(4KB)
----ltp_image_set0.m(287B)
----mask.mat(845B)
----lbp_image.m(1KB)
----lbp_image_set2.m(828B)
----fftcoord.m(435B)
----README.txt(973B)
----LICENSE.txt(23KB)
----02463d282.pgm(19KB)
----contents.m(2KB)
----gauss.m(125B)
----ltp_image_set2.m(790B)
----lbp_image_set0.m(327B)