Abstract: For the sake of embedding the manifold of face shape vectors into the models of face alignment efficiently, the research was carried out based on the typical constraint local model in the face location parameter model. According to the theorem of local coordinate coding and sparse constrain, the non-rigid deformations were replaced by the adjacent facial shape vectors which were based on manifold of facial shapes. The local tangent space alignment in manifold learning was mixed with the point distribution model, and a manifold embedded constrained local model was derived. The experimental verification on the toyed dataset and two public facial databases(i.e. labeled face parts in the wild and labeled face in the wild)were fulfilled. Compared with linear reconstruction based on constrained local model method fitting, the manifold embedded constrained local model method had better accuracy.

Key words: local tangent space alignment, constrained local model, face alignment