A two-stage synergetic approach for face recognition

被引：0

作者：

Chen, WG ^{[1
]}

Qi, FH ^{[1
]}

Wang, ZZ ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China

来源：

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2004年 / 18卷 / 06期

基金：

中国国家自然科学基金;

关键词：

synergetic pattern recognition; face recognition; PCA; wavelet decomposition; order vector; evolvement process;

D O I：

10.1142/S0218001404003605

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A two-stage face recognition method is presented in this paper. In the first stage, the set of candidate patterns is narrowed down with the global similarity being taken into account. In the second stage, synergetic approach is employed to perform further recognition. Face image is segmented into meaningful regions, each of which is represented as a prototype vector. The similarity between a given region of the test pattern and a stored sample is obtained as the order parameter which serves as an element of the order vector. Finally, a modified definition of the potential function is given, and the dynamic model of recognition is derived from it. The effectiveness of the proposed method is experimentally confirmed.

引用

页码：1007 / 1017

页数：11

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