Abstract: Most of the unmarked facial expression motion capture methods only capture the planar position changes of facial expression movements,have no description of the depth changes.For this problem,a clue guided based facial motion captures and data virtual reusing method was proposed.Firstly,the method uses a monocular vision system for locating the main body of the face.Then,the face landmark features are refined by the cascade regression model.We can obtain the positional transformation relationship of the feature points in the three-dimensional space by the active landmark cues of the facial features and the depth clues of the landmark features.Finally,the facial skeleton node data are used to achieve facial expression motions’ reconstruction.Through the experiment of the online real-time facial expression motion capture,it can be seen that this method can not only achieve the exact match of the corresponding landmark features in different perspectives,but can also better assigns real facial motion to virtual characters.

Key words: Cascade regression model, Clue guided, Facial feature, Facial motion capture