Weighted rectangle method for expression feature extraction
一种加权矩形提取表情特征的方法*

The expression feature extraction is a key step in facial expression recognition. In view of the existing low efficiency in feature extraction, by analyzing the Gabor qualities and the high computational efficiency of integral image, this paper pre-sented a method that combined integral image with rectangle template to obtain the value of facial feature points. These templates with homologous weight simulated the multi-scale of Gabor and expression image rotated via every direction of Gabor. Obtained the values of feature points not by rotating templates on rotation integral image but the joint of weighted templates and rotation integral image. Finally used these feature values for expression classification. The experimental results show that this method improves efficiency while extracting facial feature and does not affect the result heavily.