A local feature-based facial expression recognition system from depth video
Md. Zia Uddin Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea
Abstract
In this chapter, a novel approach is proposed to recognize some facial expressions from time-sequential depth videos. Local directional pattern features are extracted from the time-sequential depth faces that are followed by principal component analysis and linear discriminant analysis to make the features more robust. Finally, the local features are applied with hidden Markov models to model and recognize different facial expressions successfully. The proposed approach shows superior recognition rate against the conventional approaches.
Keywords ...
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