拟人Agent面部复杂运动合成的研究与实现

Research and Implement of Facial Action on Human-like Agent

在多维面部运动的形式化描述方法的基础上,分析了面部肌肉的运动特征和控制约束,提出了面部运动单元的概念,采用正向运动学和示教再现两种方法实现拟人Agent的基本面部运动,并通过运动合成产生复杂的面部运动。实验表明,正向运动学方法能精确控制面部运动并降低非自然表情的出现;示教再现方法自动产生面部运动简化了操作细节;运动合成则通过运动重用提高了面部运动生成的效率。

Based on a uniform model for facial action,the characteristic and restriction of facial muscles were analyzed.The unit of facial action was propsed to generate facial action by using kinematical method and teaching method.The complex facial actions can be synthesized by the basic units of facial action.Experiments show that the kinematical method reduces the probability of the unnatural expression by controling muscles accurately,and the teaching method generates the facial action without considering the details,and the synthesized facial actions are generated effectively by reusing the units of facial action.