Abstract
A novel method of facial expression recognition (FER) is presented, which uses stochastic proximity embedding (SPE) for data dimension reduction, and support vector machine (SVM) for expression classification. The proposed algorithm is applied to Japanese Female Facial Expression (JAFFE) database for FER, better performance is obtained compared with some traditional algorithms, such as PCA and LDA etc.. The result have further proved the effectiveness of the proposed algorithm.
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Ying, Z., Huang, M., Wang, Z., Wang, Z. (2011). A New Method of Facial Expression Recognition Based on SPE Plus SVM. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18134-4_64
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DOI: https://doi.org/10.1007/978-3-642-18134-4_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18133-7
Online ISBN: 978-3-642-18134-4
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