A multi-view approach on modular PCA for illumination and pose invariant face recognition

被引：0
|
作者：
Sankaran, P [1 ]
Asari, V [1 ]
机构：
[1] Old Dominion Univ, Dept Elect & Comp Engn, Computat Intelligence & Machine Vis Lab, Norfolk, VA 23529 USA
来源：
AIPR 2004: 33rd Applied Imagery Pattern Recognition Workshop, Proceedings: EMERGING TECHNOLOGIES AND APPLICATIONS FOR IMAGERY PATTERN RECOGNITION | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A modified approach on Modular PCA for face recognition is presented in this paper. The proposed changes aim to improve the recognition rates for modular PCA for face images with large variation in light and facial expression. The eyes form one of the most invariant regions on the face. A sub-image from this region is considered. Weight vectors from this region are appended to the existing weight vector for Modular PCA. The accuracies for the modified method, the original method and PCA method are evaluated under conditions of varying pose, illumination and expressions using standard face databases.
引用
收藏
页码：165 / 170
页数：6
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