Ching-Hua Weng

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This paper presents a multi-attribute sparse coding approach for facial expression recognition by regarding Action-Units (AUs) as attributes. AUs describe the movements of individual facial muscles, which are detected from corresponding attribute masks in this work. They can not only be used to de scribe group property which enforces basis selection from(More)
Automatic facial expression recognition is a challenging problem in human-computer interaction. In this paper, we develop an online facial expression recognition system based on utilizing texture and motion features extracted from a video. The combination of both types of features capture static and dynamic facial information which enhances the recognition(More)
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