东南大学学报（英文版）2008，Vol.24Issue(4)：428-432,5.
基于模糊LDA/CCA的面部表情识别
Facial expression recognition based on fuzzy-LDA/CCA
摘要
Abstract
A novel fuzzy linear discriminant analysis method by the canonical correlation analysis (fuzzy-LDA/CCA)is presented and applied to the facial expression recognition. The fuzzy method is used to evaluate the degree of the class membership to which each training sample belongs. CCA is then used to establish the relationship between each facial image and the corresponding class membership vector, and the class membership vector of a test image is estimated using this relationship. Moreover, the fuzzy-LDA/CCA method is also generalized to deal with nonlinear discriminant analysis problems via kernel method. The performance of the proposed method is demonstrated using real data.关键词
模糊判别分析/典型相关分析/面部表情识别Key words
fuzzy linear discriminant analysis/canonical correlation analysis/facial expression recognition分类
信息技术与安全科学引用本文复制引用
周晓彦,郑文明,邹采荣,赵力..基于模糊LDA/CCA的面部表情识别[J].东南大学学报（英文版）,2008,24(4):428-432,5.基金项目
The National Natural Science Foundation of China ( No. 60503023,60872160), the Natural Science Foundation for Universities of Jiangsu Province (No. 08KJD520009), the Intramural Research Foundation of Nanjing University of Information Science and Technolog(No.Y603). （ No. 60503023,60872160）
