Abstract
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.
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© 2014 Springer International Publishing Switzerland
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Zhou, S., Feng, G., Xie, J. (2014). Facial Expression Recognition Based on Classification Tree. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_14
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DOI: https://doi.org/10.1007/978-3-319-12484-1_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12483-4
Online ISBN: 978-3-319-12484-1
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