Wavelet Networks For Facial Emotion Recognition
2015 15TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS (ISDA)(2015)
摘要
Face emotion recognition is one of the most important and rapidly advanced active research areas of computer science. A new method for facial expression recognition based on wavelet network classifier is proposed in this paper. It allows us the detection of six basic emotions other than the neutral one: (Joy, surprise, sadness, anger, fear and disgust) The process is composed of three principle steps : face detection, features extraction and classification. The effectiveness of our proposed algorithm is experimentally demonstrated by using well-known test database: the extended cohen-kanade database.
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关键词
Face emotion recognition,Face detection Features extraction,Wavelet Network Classifier,Viola and Jones,classification
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