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基于多通道Gabor滤波与CS-LBP的人脸识别方法
引用本文:何中市,卢建云,余磊.基于多通道Gabor滤波与CS-LBP的人脸识别方法[J].计算机科学,2010,37(5):261-364.
作者姓名:何中市  卢建云  余磊
作者单位:重庆大学计算机学院,重庆,400030
基金项目:国家863计划项目(2007AA01Z423);;重庆市自然科学基金项目(CSTC,2007BB2134)资助
摘    要:近来,局部二值模式(Local Binary Pattern,LBP)在人脸识别中取得了成功应用。然而,LBP提取的特征维数通常很高。而中心对称局部二值模式(Center-Symmetric Local Binary Pattern,CS-LBP)采用中心对称思想对图像进行编码,能够显著降低提取的特征的维数。为此,将CS-LBP应用于人脸图像特征提取,并结合多通道Gabor滤波,提出了基于多通道Gabor滤波与CS-LBP的人脸识别算法。在Yale,ORL,FETER标准人脸库上的实验结果表明,相比局部二值模式,CS-LBP以提取更少的特征维数取得了相当的识别率,并且,基于多通道Gabor滤波的CS-LBP能显著提高识别精度。

关 键 词:中心对称局部二值模式  多通道Gabor滤波  特征提取  人脸识别  
收稿时间:2009/7/15 0:00:00
修稿时间:2009/9/30 0:00:00

Face Recognition Method Based on Multi-channel Gabor Filtering and Center-Symmetric Local Binary Pattern
HE Zhong-shi,LU Jian-yun,YU Lei.Face Recognition Method Based on Multi-channel Gabor Filtering and Center-Symmetric Local Binary Pattern[J].Computer Science,2010,37(5):261-364.
Authors:HE Zhong-shi  LU Jian-yun  YU Lei
Affiliation:College of Computer Science/a>;Chongqing University/a>;Chongqing 400030/a>;China
Abstract:In recent years,Local Binary Pattern(LBP) has been successfully applied to face recognition.However,the dimensionality of the feature vector extracted by LBP is usually very high.On the contrary,Center-Symmetric Local Binary Pattern(CS-LBP) encodes the image with the technique of Center Symmetry.As a result,CS-LBP can largely reduce the extracted feature dimension.Therefore,in this paper,CS-LBP was employed to extract features from facial ima-ges,and then a new face recognition algorithm based on multi-chan...
Keywords:Center-symmetric local binary pattern  Multi-channel Gabor filtering  Feature extraction  Face recognition  
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