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ABSTRACT
Facial 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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Xiaoming Zhao
Xiaoming Zhao received the BS degree in mathematics from Zhejiang Normal University in 1990 and the MS degree in software engineering from Beihang University in 2006. He is currently a professor of department of computer science, Taizhou University, China. His research interests include image processing, machine learning and pattern recognition.
E-mail: [email protected]
Shiqing Zhang
Shiqing Zhang received the BS degree in electronics and information engineering from Hunan University of Commerce in 2003, the MS degree in electronics and communication engineering from Hangzhou Dianzi University in 2008, and the PhD degree at school of Communication and Information Engineering, University of Electronic Science and Technology of China, in 2012. Currently, he works as an assistant professor of department of physics and electronics engineering, Taizhou University, China. His research interests include image processing, affective computing and pattern recognition.
E-mail: [email protected]