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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.