Abstract
Facial expression inevitably leads to facial deformation. In this paper, the advantages and disadvantages of feature extraction and recognition method are considered. A facial expression recognition method based on mixed feature fusion of nine types of personality is proposed. The texture features are extracted by discrete wavelet transform and standard orthogonal non negative matrix decomposition for a person’s facial expression image sequence, and AAM square is used. The method calculates the coordinate difference between the expression key points of the expression frame and the neutral frame in the image sequence, and extracts the geometric deformation characteristics. Then use the canonical correlation analysis (CCA) to fuse the two features, and finally use discrete HMM to classify faces.
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Acknowledgments
This work was supported by The Education Department of Jilin Province. I would like to thank those who took care of me, encouraged me and helped me when I am finishing this paper.
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Luo, Jl., Zhu, Ml., Wang, Qq. (2019). Typing Technology of Virtual Character of Animation Based on Enneagram Personality. In: Pan, Z., Cheok, A., Müller, W., Zhang, M., El Rhalibi, A., Kifayat, K. (eds) Transactions on Edutainment XV. Lecture Notes in Computer Science(), vol 11345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59351-6_6
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DOI: https://doi.org/10.1007/978-3-662-59351-6_6
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