Abstract
Facial expression recognition is one of the hot spots in recent years, it applies in the emotional analysis, pattern recognition and interpersonal interaction. This paper introduces the recent advances and applications in facial expression recognition from the face detection, feature extraction, classification, and the ethnic expression recognition. The methods of feature extraction are divided to several different characteristic categories. Researches of classifications are based on space or time and space. What’s more, according to the facial expression recognition history and achievements, the development of ethnic facial expression recognition and the trend of facial expression recognition are given.
This work was supported in part by 985 Funding Project (3rd Phase) of Minzu University of China (Grant 9850100300107), Independent Research Funding Project of Minzu University of China (Multisource information based Research on Ethnic Relationship) and Youth Funding Project of Minzu University of China (Anthropology based multimode Ethnic Facial Information Coding Research), Beijing Municipal Public Information Resources Monitoring Project (Grant 104-00102211).
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Wu, T., Fu, S., Yang, G. (2012). Survey of the Facial Expression Recognition Research. In: Zhang, H., Hussain, A., Liu, D., Wang, Z. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2012. Lecture Notes in Computer Science(), vol 7366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31561-9_44
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