AAM人脸特征点定位模块是关键模块，其定位结果直接影响人脸表情动画合成效果。

AAM facial feature points positioning module is the master key for its orientation result directly influence the synthetic effect of the facial expression animation.

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然而，用现有的人脸特征点定位算法进行人脸形状估计时，嘴巴区域特征点的定位误差相对较大。

However, when estimating facial shapes using current facial landmarks detecting methods, the locating error of feature points around the mouth region is relatively large.

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本文首先介绍了AAM人脸特征点定位的基本原理，然后针对传统AAM算法存在的不足进行了一些改进。

This paper first introduced the AAM theory, and then made some improvement based on the shortcomings of the traditional AAM algorithm.

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