Landmark Fitting for Sequential Faces Based on Active Shape Model and Tracking Correction

In this paper, a method of landmark fitting for sequential faces is presented based on active shape model(ASM) and tracking correction. This method overcomes the loss of consecutive information between frames, and makes full use of the motion variation information of video sequences in time and space dimensions. Firstly, the optical flow values of several key points on the face are calculated by the large displacement optical flow model. Secondly, the positions of these points in the current frame are located to modify the global shape model of ASM and conduct the precise localization of landmarks in landmark searching. Finally, the rationality of landmark is suppressed to obtain the ultimate results. Our proposed method observably improves the accurate localization of ASM for deformed faces, and takes full advantage of the continuity among video sequences, so that it has significant effect on landmark fitting for sequential faces. Compared with ASM, extensive experiments show that our method performs outstandingly in terms of accuracy and robustness.