Expression Recognition Algorithm Based on Image Reconstruction
基于图像重建的表情识别算法

In this paper, an expression recognition algorithm based on image reconstruction is proposed. Firstly, manifolds of different subjects were obtained singly using the Lipschitz Embedding algorithm. Mapping between manifold vectors and image vectors was established. Then, the coordinates of testing image in manifold space was confirmed by nonlinear reconstructing. Finally, expression images were reconstructed according to projecting vectors of testing image on manifold paths and expression recognition was accomplished. The algorithm solves the problem that expression manifolds overlap with one another. It is robust to the variety of expression intensity. The experiments in Cohn-Kanade and CMU-AMP face database show the algorithm has better expression recognition accuracy.