A Facial Feature Extraction Method Based on Linear Combination Model

Based on linear combination model, a new facial feature extraction method is proposed. By matching procedure, the combination model extracts automatically the feature points of given facial image from the information of the labeled prototypes. To construct linear combination model, a restrained optical flow algorithm is proposed to solve the difficult problem of the pixel-wise alignments among the labeled prototypic faces. By implementing the feature extraction method on the MPI and ORL face database, we gain average error 96.7% and 86% respectively. The result shows that the method has good performance.