Facial expression recognition based on weighted principal component analysis and support vector machines

This paper presents a new method of facial expression recognition using the multi-feature fusion weighted principal component analysis (WPCA) and the improved support vector machines(SVMs). It employed the WPCA with multi-features to extract the facial expression feature and the SVMs to classify hum...

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Veröffentlicht in:	2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) Jg. 3; S. V3-174 - V3-178
Hauptverfasser:	Zhiguo Niu, Xuehong Qiu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2010
Schlagworte:	Face recognition facial expression recognition feature extraction multi-feature fusion support vector machines weighted principal component analysis
ISBN:	1424465397, 9781424465392
ISSN:	2154-7491
Online-Zugang:	Volltext
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