Combined Dictionary Learning in Facial Expression Recognition

Ziyang Zhang, Kaamran Raahemifar

Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada..

DOI: 10.4236/jsip.2013.43B015                

Abstract

Dictionary learning has been applied to face recognition and gets good results. However few works applied dictionary learning in facial expression recognition. This paper investigates the application of K-SVD in facial expression recognition. Since K-SVD focuses on reconstruction and lacks discriminant capability. It has similar classification performance with image pixel values. To address this problem, this paper proposes a Combined Dictionary Scheme, which uses combination of separate dictionaries. This yields better performance than the original single dictionary scheme in terms of both recognition rate and computation complexity.

Keywords

Facial expression Recognition; Dictionary Learning; K-SVD

Conflicts of Interest

The authors declare no conflicts of interest.

References

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