基于单张人脸图像的表情生成方法

摘要

人脸表情生成是人机情感交互的重要实现方式之一.通过研究人脸及表情特点,抽象具体的器官变化,归纳出针对人脸图像的网格划分法法则.在此基础上提出了一种针对人脸表情生成的网格划分技术.该技术通过简单的定位,使用二次多项式曲线合理划分了人脸主要器官,继而将其参数化,实现对人脸各器官的独立调整变动.简化定义了6种基本表情的面部变化,使用新网格划分技术实现不同的人脸器官变化,生成各种特定的表情.同时尝试了皱纹等皮肤纹理的添加步骤.与已有的人脸表情生成方法相比,新方法具有网格划分方式简单、变动参数多样、易于编码实现和计算量小等优点,最终生成的人脸表情在主观评测中评价良好.%Facial expression synthesis is important for affective computing.Here,we investigate various facial and expressions features.By abstracting specific organ changes,several principles for the mesh partition of a human face are provided.A new mesh partition technique is then introduced for the synthesis of human expression.By simply positioning,the new technique divides organs of the human faces with polynomial curves.In consequence,every facial organ can be adjusted separately.The existing definition of six basic facial expressions are simplified.With this mesh generation technique,a new method to generate facial expression is obtained.At the same time,we try a step to add skin texture so that the generated expression can be enhanced.Compared with the existing facial expression synthesis methods,the proposed method is simpler in mesh partition,more flexible in parameter setting,and easier to be coded with less computational cost.Subjective evaluation shows that the generated facial expressions have a good visual effect.