PCA是最成功的线性鉴别方法之一，但传统的PC A方法提取的是图像的全局特征，受光照条件和人脸表情变化影响比较大。

But the traditional PCA is influenced by the light condition and the variety of facial expression because it extracts the global feature of the image.

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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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同时，由于人脸检测受背景、光照、姿态、表情、遮挡、噪声等影响较大，也成为一个较为复杂的课题。

At the same time, since the human face detection can be greatly influenced by background, light, gesture, expression, occlusion, noise and so on, it also became a much complicated topic.

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