Abstract
ABSTRACTFacial expression recognition (FER) is currently a very active research topic in the fields of computer vision, pattern recognition, artificial intelligence, and has drawn extensive attentions owing to its potential applications to natural human–computer interaction (HCI), human emotion analysis, interactive video, image indexing and retrieval, etc. This paper is a survey of FER addressing the most two important aspects of designing an FER system. The first one is facial feature extraction for static images and dynamic image sequences. The second one is facial expression classification. Conclusions and future work are finally discussed in the last section of this survey.
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