Enhanced Fisher linear discriminant model based face recognition using facial combined feature

被引：2
|
作者：
Zhou, D [1 ]
Yang, X [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China
来源：
OPTICAL ENGINEERING | 2004年 / 43卷 / 12期
基金：
中国国家自然科学基金;
关键词：
combined feature Fisher classifier; discrete cosine transform; enhanced Fisher linear discriminant model; face recognition;
D O I：
10.1117/1.1812539
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We propose a combined feature Fisher classifier method for face recognition (FR). Both facial holistic and local information are used for face representation. In addition, the enhanced Fisher linear discriminant model is employed for improving the generalization capability. Experiments show that the method is not only robust enough to moderate changes of illumination, pose, and facial expression but also superior to the traditional FR methods, such as eigenfaces and Fisherfaces. (C) 2004 Society of Photo-Optical Instrumentation Engineers.
引用
收藏
页码：2829 / 2830
页数：2
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