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Published in:
2014 | OriginalPaper | Chapter
Facial Expression Recognition Based on Classification Tree
Authors : Shuizi Zhou, Gui Feng, Jingfang Xie
Published in: Biometric Recognition
Publisher: Springer International Publishing
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Most of facial expression recognition systems have a low recognition rate for non specific facial expression. Therefore, a new method of facial expression recognition is proposed based on classification tree. According to the differences in expressions, we classify 7 kinds of expressions from coarse to fine. And at each layer in the classification tree, we set feature vectors into different regions, and extract the most feature vectors for classification by LDA. Experimental results show that the proposed method can achieve a recognition rate of 82.38% on JAFFE database, which verifies the effectiveness of the proposed algorithm.