表情生成技术是智能人机接口领域的重要研究内容之一。基于方法的表情生成技术多数以图像为研究对象，不需要3维建模，同时又具有丰富的纹理细节，在表情生成的逼真度和降低复杂性方面具有相当的优势，一些方法也可扩展至3维应用。本文根据各种算法的技术本质将已公开发表的研究总结归纳为渐变技术、表情映射技术、统计学方法、2维网格法、面色表情和表演驱动技术等几类，从概念、理论和技术方法等方面对典型成果进行讨论，分析了不同算法的特点和存在的问题以及今后的发展方向，为开展相关研究提供参考。

The expression generation is one of important research contents of intelligent human-computer interface.Because images are the research objects in the majority,the facial expression generation techniques based on the study method dont need to model for 3D faces and potentially can be of highly realistic expressions.These are of considerable advantages in reality improving and complexity reducing.Some methods can also be used to 3D models.The paper summarizes the published researches from the aspects of morphing,expression mapping,statistical method,2D meshes,facial color expression and performance-driven.The conceptions,principals and the methods of typical achievements are discussed.The features and existing problems of different algorithms as well as the development trend are analyzed.It provides some useful information and gives a reference to related works.