Appearance-based statistical methods for face recognition

被引：0
|
作者：
Delac, K [1 ]
Grgic, M [1 ]
Liatsis, P [1 ]
机构：
[1] Croatian Telecom, Zagreb, Croatia
来源：
PROCEEDINGS ELMAR-2005 | 2005年
关键词：
face recognition; PCA; ICA; LDA; subspace analysis;
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：
Different statistical methods for face recognition have been proposed in recent years. They mostly differ in the type of projection and distance measure used. The aim of this paper is to give an overview of most popular statistical subspace methods for face recognition task. Theoretical aspects of three algorithms will be considered and some reported performance evaluations will be given.
引用
收藏
页码：151 / 158
页数：8
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