DocumentCode :
1585348
Title :
Facial Complex Expression Recognition Based on Fuzzy Kernel Clustering and Support Vector Machines
Author :
Zhao, Hui ; Wang, Zhiliang ; Men, Jihui
Author_Institution :
Xinjiang Univ., Beijing
Volume :
1
fYear :
2007
Firstpage :
562
Lastpage :
566
Abstract :
Present methods of facial expression recognition usually designate an expression image as one kind of six facial basic expressions. However, a facial expression usually is a complex expression that consists of several basic expressions. This paper proposes a facial complex expression recognition algorithm based on fuzzy kernel clustering and support vector machines. This algorithm designs the binary facial complex expression classification tree by using fuzzy kernel clustering algorithm, trains support vector machines at each node of the binary classification tree and describes the complexity of a facial expression according as the result of support vector machines classification. Experimental results indicate that the proposed algorithm generates higher accuracy for the JAFFE database and achieves better performance than 1-a-r SVMs. In addition, experimental results show that the result of the proposed method is more accord with practice than the result of traditional expression recognition methods.
Keywords :
emotion recognition; face recognition; fuzzy set theory; pattern clustering; support vector machines; binary facial complex expression classification tree; facial complex expression recognition; fuzzy kernel clustering; support vector machines; Classification tree analysis; Clustering algorithms; Design engineering; Face recognition; Facial animation; Humans; Image recognition; Kernel; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
Type :
conf
DOI :
10.1109/ICNC.2007.372
Filename :
4344253
Link To Document :
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