上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

基于优化CANDIDE模型的人脸动画

葛美玲1，姚莉秀，李鹃，杨杰
  

  1. (上海交通大学 图像处理与模式识别研究所, 上海 200240)
  • 收稿日期:2010-03-16 修回日期:1900-01-01 出版日期:2010-11-30 发布日期:2010-11-30

Facial Animation Based on CANDIDE Model

GE Meiling,YAO Lixiu,LI Juan,YANG Jie
  

  1. (Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2010-03-16 Revised:1900-01-01 Online:2010-11-30 Published:2010-11-30

摘要： 使用CANDIDE模型，实现模型与照片人脸的快速自动匹配.在模型与人脸初步匹配后，对模型局部进行网格优化，提高了模型的表征力同时并不影响匹配速度.用基于薄板样条插值方法（TPS）的网格形变取代传统的移动网格结点的动画方法，有效提高了动画的真实感.实验结果显示，自动模型匹配让动画角色的更换工作变得快速易行，优化的网格形变产生的动画更加生动、自然.

关键词: CANDIDE模型, 人脸动画, 薄板样条, 面部动画参数

Abstract: Imagebased facial animation is useful in practical applications because of its realistic texture and easy implementation. Facial animation driven by complex mesh can improve the sense of reality but reduce the efficiency of animation. In this paper, modelphoto matching was made easy because of CANDIDE model. Local optimization of the mesh after the sketchy matching not only improves the representative of the model but also reserves the matching efficiency. Mesh deformation based on thinplate splines interpolation instead of the traditional nodemoving can effectively improve the reality. The experimental results demonstrate that this method can generate vivid facial animation and the replacement of character becomes easier and faster.

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