关键词: 表情识别, 特征提取, 表情分类, 算法改进, 算法对比

Abstract: As a research direction of the affective computing, facial expression recognition which constitutes the basis of emotion understanding, is the premise to complete human-computer interaction intelligent. Facial expression is so exquisite that it consumes a large amount of computation time and influences the timeliness and experience feeling from human-computer interaction intelligent. Consequently, facial feature extraction has become an important research topic in the area of facial expression recognition. The progress and stable framework for facial expression recognition in recent five years are generalized, a serial of algorithms applied in feature extraction and expression classification are summarized, Then, the main algorithms and their improvement are described in detail, and advantages and disadvantages among in different algorithms are analyzed and compared. In the same time, comparison with the other algorithms is also introduced. The challenges and shortcomings are pointed out by the research of practical problems in facial expression recognition application.

Key words: expression recognition, feature extraction, feature classification, algorithm improvement, algorithm comparison