Facial expression recognition with LBP and SLPP combined method

The way to extract facial expression features from 3D face image is significant in 3D expression recognition. However, most of the feather extraction methods are based on geometric. In this paper, we extend a combined strategy for Local Binary Patterns (LBP) and Supervised Locality Preserving Projection (SLPP) in facial expression recognition. First, we use LBP to get the histogram of the image. Then the SLPP method is used to reduce the dimension. At last, the k-Nearest Neighbor algorithm is used as the classifier. The recognition rate of the combined method is compared with the traditional methods including PCA, LDA and SLPP. The result shows that the recognition accuracy of the LBP and SLPP combined method is better than that the others in the field of 3D facial expression recognition..