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http://dx.doi.org/10.5391/JKIIS.2003.13.3.371

Facial Expression Recognition using ICA-Factorial Representation Method  

Han, Su-Jeong (충북대학교 전기전자 및 컴퓨터 공학부 컴퓨터 정보통신 연구소)
Kwak, Keun-Chang (충북대학교 전기전자 및 컴퓨터 공학부 컴퓨터 정보통신 연구소)
Go, Hyoun-Joo (충북대학교 전기전자 및 컴퓨터 공학부 컴퓨터 정보통신 연구소)
Kim, Sung-Suk (충북대학교 전기전자 및 컴퓨터 공학부 컴퓨터 정보통신 연구소)
Chun, Myung-Geun (충북대학교 전기전자 및 컴퓨터 공학부 컴퓨터 정보통신 연구소)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.3, 2003 , pp. 371-376 More about this Journal
Abstract
In this paper, we proposes a method for recognizing the facial expressions using ICA(Independent Component Analysis)-factorial representation method. Facial expression recognition consists of two stages. First, a method of Feature extraction transforms the high dimensional face space into a low dimensional feature space using PCA(Principal Component Analysis). And then, the feature vectors are extracted by using ICA-factorial representation method. The second recognition stage is performed by using the Euclidean distance measure based KNN(K-Nearest Neighbor) algorithm. We constructed the facial expression database for six basic expressions(happiness, sadness, angry, surprise, fear, dislike) and obtained a better performance than previous works.
Keywords
ICA-factorial; ICA;
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