LTP_demo-v1
所属分类：图形图像处理
开发工具：matlab
文件大小：45KB
下载次数：18
上传日期：2019-01-11 21:53:22
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说明： 对图像进行纹理特征提取，有LBP，旋转不变lbp，统一lbp，小波特征提取等比较齐全的特征提取算法
(Texture feature extraction of images, such as LBP, rotation invariant lbp, unified lbp, wavelet feature extraction and other relatively complete feature extraction algorithms)
文件列表:
LTP_demo-v1\02463d254.pgm (19515, 2006-11-23)
LTP_demo-v1\02463d282.pgm (19515, 2006-11-23)
LTP_demo-v1\contents.m (1537, 2007-09-18)
LTP_demo-v1\demo.m (4030, 2008-09-23)
LTP_demo-v1\dist_chi2.m (806, 2007-09-18)
LTP_demo-v1\dist_lbp_disttrans.m (2557, 2007-09-17)
LTP_demo-v1\fftcoord.m (435, 2006-11-26)
LTP_demo-v1\GaborFilter.m (1416, 2008-04-22)
LTP_demo-v1\gauss.m (125, 2005-05-24)
LTP_demo-v1\gaussianfilter.m (507, 2006-12-04)
LTP_demo-v1\is_uniform_pattern.m (236, 2007-09-17)
LTP_demo-v1\lbp_histo.m (149, 2007-02-12)
LTP_demo-v1\lbp_image.m (1081, 2007-09-17)
LTP_demo-v1\lbp_image_set0.m (327, 2007-09-17)
LTP_demo-v1\lbp_image_set2.m (828, 2007-09-17)
LTP_demo-v1\LICENSE.txt (23211, 2007-09-17)
LTP_demo-v1\ltp_image.m (1287, 2007-09-17)
LTP_demo-v1\ltp_image_set0.m (287, 2007-09-17)
LTP_demo-v1\ltp_image_set2.m (790, 2007-09-17)
LTP_demo-v1\mask.mat (845, 2006-11-27)
LTP_demo-v1\preproc2.m (4291, 2007-09-17)
LTP_demo-v1\uniform_pattern.m (406, 2007-09-18)
LTP_demo-v1 (0, 2008-03-24)
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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