Independent Component Analysis of Gabor Features for Facial Expression Recognition

Author

Qiang, Zhang ; Chen, Chen ; Changjun, Zhou ; Xiaopeng, Wei

Author_Institution

Liaoning Key Lab. of Intell. Inf. Process., Dalian Univ., Dalian

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

84

Lastpage

87

Abstract

This paper proposes a novel method for facial expression recognition by using independent component analysis of Gabor features. In the feature extraction stage, Gabor feature vectors are firstly extracted from a set of facial expressions images, then using independent component analysis (ICA) to extract the independent Gabor features. After that, the independent Gabor features are used to train SVM to realize the facial expression recognition, and the computer simulation illustrates the effectivity of this method to classify the seven expressions of the JAFFE database.

Keywords

face recognition; feature extraction; independent component analysis; support vector machines; vectors; Gabor feature vector; SVM; facial expression recognition; feature extraction; independent component analysis; support vector machine; Gabor feature; ICA; SVM; facial expression recognition; independent Gabor features;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering, 2008. ISISE '08. International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-2727-4

Type

conf

DOI

10.1109/ISISE.2008.323

Filename

4732175