Sequential Row-Column 2DPCA for face recognition

被引：15
|
作者：
Yang, Wankou [1 ,2 ]
Sun, Changyin [1 ]
Ricanek, Karl [2 ]
机构：
[1] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
[2] UNC Wilmington, Dept Comp Sci, Face Aging Grp, Wilmington, NC USA
来源：
NEURAL COMPUTING & APPLICATIONS | 2012年 / 21卷 / 07期
基金：
中国博士后科学基金;
关键词：
PCA; 2DPCA; RC2DPCA; Feature extraction; Face recognition; 2-DIMENSIONAL PCA;
D O I：
10.1007/s00521-011-0676-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For better representation and feature extraction of face images, a two-stage method, called Sequential Row-Column 2DPCA (RC2DPCA), is proposed in this paper, which uses 2DPCA operated in the row direction and alternative 2DPCA operated in column direction. RC2DPCA can compress image in row and column direction. RC2DPCA needs fewer coefficients for image representation than 2DPCA. The experimental results on the ORL and FERET face database show that RC2DPCA works well and surpasses 2DPCA, BDPCA, and GPCA.
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页码：1729 / 1735
页数：7
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