Facial expression recognition: A clustering-based approach

被引：91
|
作者：
Chen, XW [1 ]
Huang, T [1 ]
机构：
[1] Univ Illinois, Beckman Inst Adv Technol & Dev, Urbana, IL 61801 USA
来源：
PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 9-10期
关键词：
clustering based discriminant analysis; facial expression recognition; human computer interaction; principal component analysis; linear discriminant analysis;
D O I：
10.1016/S0167-8655(02)00371-9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a new clustering based feature extraction method for facial expression recognition. We demonstrate the effectiveness of this method and compare it with commonly used principal component analysis method and linear discriminant analysis method. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：1295 / 1302
页数：8
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