Component localization in face alignment

Face alignment is a significant problem in the processing of face image. Active Shape Model (ASM) is one of powerful solution to this problem. But ASM is sensitive to the localization of initial points. If the initial shape is not located in the appropriate location, the ASM iteration may not converge. In this paper, in order to improve the ASM convergence, we proposed an approach for face alignment based on the face component localization. We firstly use the component localization for locating initial points, and then match the landmark points with the face appearance features. Such that the ASM can converge fast with the less errors of iterations since that the component localization provides good initial points in the preprocessing. We evaluated our approach on the frontal views of upright faces of IMM dataset. The experimental results have shown that our approach outperforms the original ASM in terms of efficiency and accuracy.