Recognizing facial action units using independent component analysis and support vector machine

Chao F. Chuang; Frank Shih

doi:10.1016/j.patcog.2006.03.017

Recognizing facial action units using independent component analysis and support vector machine

Chao F. Chuang, Frank Shih

Computer Science

Research output: Contribution to journal › Article › peer-review

73 Scopus citations

Abstract

Facial expression provides a crucial behavioral measure for studies of human emotion, cognitive processes, and social interaction. In this paper, we focus on recognizing facial action units (AUs), which represent the subtle change of facial expressions. We adopt ICA (independent component analysis) as the feature extraction and representation method and SVM (support vector machine) as the pattern classifier. By comparing with three existing systems, such as Tian, Donato, and Bazzo, our proposed system can achieve the highest recognition rates. Furthermore, the proposed system is fast since it takes only 1.8 ms for classifying a test image.

Original language	English (US)
Pages (from-to)	1795-1798
Number of pages	4
Journal	Pattern Recognition
Volume	39
Issue number	9
DOIs	https://doi.org/10.1016/j.patcog.2006.03.017
State	Published - Sep 1 2006

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Signal Processing
Electrical and Electronic Engineering

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AB - Facial expression provides a crucial behavioral measure for studies of human emotion, cognitive processes, and social interaction. In this paper, we focus on recognizing facial action units (AUs), which represent the subtle change of facial expressions. We adopt ICA (independent component analysis) as the feature extraction and representation method and SVM (support vector machine) as the pattern classifier. By comparing with three existing systems, such as Tian, Donato, and Bazzo, our proposed system can achieve the highest recognition rates. Furthermore, the proposed system is fast since it takes only 1.8 ms for classifying a test image.

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Recognizing facial action units using independent component analysis and support vector machine

Abstract

All Science Journal Classification (ASJC) codes

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