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In this paper, we propose an effective algorithm for facial expression recognition (FER), which is based on completed local binary pattern (CLBP) and sparse representation. The new method solves sparse representations on both gray facial expression images and completed local binary pattern (CLBP) of these images. Afterwards, we obtain the both expression recognition results on both of expression features...
In this paper, we propose a new algorithm for facial expression recognition (FER) based on rotation invariant Local Phase Quantization (RI-LPQ) and sparse representation. Firstly, Expression features are extracted using RI-LPQ descriptor. Then, Sparse Representation-based Classification (SRC) method is used to represent the test expression image by the linear combination of the training expression...
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