Real-Time Facial Expression Recognition in the Interactive Game Based on Embedded Hidden Markov Model

Authors:
Xiaoxu Zhou;Xiangsheng Huang;Yangsheng Wang
Affiliations:
Chinese Academy of Sciences;Chinese Academy of Sciences;Chinese Academy of Sciences
Venue:
CGIV '04 Proceedings of the International Conference on Computer Graphics, Imaging and Visualization
Year:
2004

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Abstract

Combine the facial expression of the game player with the game role and the context can highly enhance the interaction and attractiveness of the interactive computer game. In this paper, we propose a novel framework to real-time facial expression recognition in the interactive computer game environment. There are two main contributions of this work. First, an embedded HMM proposed by Nefian et al. for face recognition [1] is used in real-time facial expression recognition. Second, face alignment is used in facial expression environment. In this paper, the embedded HMM uses two-dimensional Discrete Cosine Transform (2D-DCT) coefficients as the observation vectors opposite to previous HMM approaches which use pixel intensities to form the observation vectors. Our proposed system reduces the complexity of the training and recognition system.