为了对京剧脸谱表情进行有效建模和编辑，提出了一个京剧脸谱表情分层驱动的矢量化建模与编辑方法，并首先分析了传统京剧脸谱的绘制过程、局部纹样形状特征以及纹样的分类；然后基于分层原理构造出了一个矢量化的脸谱纹样库。在进行京剧脸谱建模时，首先根据脸部运动编码系统（FACS）标准将脸谱表情分解成40个动作单元；然后在合成脸谱过程中用户只需按照脸谱绘制顺序和创作需要逐层选取所需的纹样即可得到一个京剧脸谱图案。对于每个表情动作单元,可利用自由形态变形（FFD）技术来驱动脸谱来生成不同的脸谱表情，另外，用户还可以通过系统提供的编辑工具对脸谱表情进行进一步的调控。

In this paper we propose a vector-based hierarchical model for facial makeup’s expressions in Peking opera. First we analyze the drawing process of facial makeup in the traditional Peking opera, the shape features of patterns as well as the classification of patterns, and then build a vector pattern bank based on the hierarchical structure of patterns. According to the standards of facial action coding system (FACS), we decompose facial makeup into 40 key action units. During the synthesis process of the facial makeup, users only need to select patterns one by one from the pattern bank to compose needed facial makeup. By using free form deformation (FFD) technique, each expression of action units is obtained. In addition, users may have further control over facial expressions through editing tools provided in the system.