Combined Dictionary Learning in Facial Expression Recognition

DOI: 10.4236/jsip.2013.43B015   PDF   HTML     3,257 Downloads   4,388 Views   Citations

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.

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Z. Zhang and K. Raahemifar, "Combined Dictionary Learning in Facial Expression Recognition," Journal of Signal and Information Processing, Vol. 4 No. 3B, 2013, pp. 86-90. doi: 10.4236/jsip.2013.43B015.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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