基于模型的面部图像生成方法

在人脸部件几何特征及肌肉运动模型的基础上，本文提出了一种二维面部图像的生成方法。该方法采用特征网络模型精确地描述人脸部件，将网络上轮廓特征点的相对位移作为面部图像变形及表情综合的参数，并通过面部整合模型控制各部件之间相互作用关系及人脸轮廓变化。实验证明该方法产生的面部变形图像比较精确，表情效果也很自然。

A Generation Method for Face Image based on Model

On the basis of facial geometrical feature and muscle model, this paper represents a generation method adapted to two - dimension human images. The method uses a feature mesh model to describe facial components accurately, and makes the displacement of contour feature point the parameter of facial image morphing and expression synthesis. At the same time, it controls interact relation between facial components and variety of facial contour by using a face integral modal. The result of experiments shows that the facial images generated by this algorithm are accurate, and the expression effect is more natural.