Margin Refine of Candide-3 Model for Facial Deformation
Xuxu Chen, Hui Jian Han · Advanced materials research · 2014
Because of the structure of the CANDIDE model is simple and the quantity of its marginal gridlines is small, an obvious marginal trace would appear while the face changed. In view of this, this paper proposed a method which refined the facial outline gridlines to improve the effect of facial transformation. Firstly, the feature point of the pupil is set to enhance the location veracity of the model, then 44 key feature points are chosen to represent the information of the basic facial features. The face matching is realized by ASM algorithm, then fit and refine the extracted contour line personalized to enhance the expressive force of the model of CANDIDE-3. Experimental results show that the result of facial transformation has been optimized. The effect of the transformation is optimized on the premise of the computation speed is guaranteed, and the result looks more naturally.