In the process of dealing with multi-frame expression images in traditional dynamic expression recognition methods,we usually face some problems which lead to high feature dimension,simple feature category and difficult classifier selection in heterogeneous feature data. In order to improve the recognition rate,we firstly apply the slow feature analysis to detect the peak frame automatically among the expression sequences. Then we extract the geometric features and Gabor features based on the peak frame,and the feature dimension is reduced afte...
