matlab
所属分类：视频捕捉采集剪辑
开发工具：matlab
文件大小：66KB
下载次数：40
上传日期：2014-01-06 11:26:56
上 传 者：
mkydbin
说明： 图像窗口实现显示摄像头捕捉的实时图像 能够显示左面图像的拍照；
实现图像的保存与读取。
(Image display window to achieve real-time image capture camera can be displayed on the left of the image photographed achieve preservation and read images.)
文件列表:
matlabFACE.rar (12551, 2014-01-06)
人脸识别 (0, 2009-09-17)
人脸识别\02463d254.pgm (19515, 2006-11-23)
人脸识别\02463d282.pgm (19515, 2006-11-23)
人脸识别\LICENSE.txt (23211, 2007-09-17)
人脸识别\contents.m (1537, 2007-09-18)
人脸识别\demo.m (4027, 2007-09-17)
人脸识别\dist_chi2.m (806, 2007-09-18)
人脸识别\dist_lbp_disttrans.m (2557, 2007-09-17)
人脸识别\fftcoord.m (435, 2006-11-26)
人脸识别\gauss.m (125, 2005-05-24)
人脸识别\gaussianfilter.m (507, 2006-12-04)
人脸识别\is_uniform_pattern.m (236, 2007-09-17)
人脸识别\lbp_histo.m (149, 2007-02-12)
人脸识别\lbp_image.m (1081, 2007-09-17)
人脸识别\lbp_image_set0.m (327, 2007-09-17)
人脸识别\lbp_image_set2.m (828, 2007-09-17)
人脸识别\ltp_image.m (1287, 2007-09-17)
人脸识别\ltp_image_set0.m (287, 2007-09-17)
人脸识别\ltp_image_set2.m (790, 2007-09-17)
人脸识别\mask.mat (845, 2006-11-27)
人脸识别\preproc2.m (4291, 2007-09-17)
人脸识别\uniform_pattern.m (406, 2007-09-18)
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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