The thesis uses the method to train face feature classifier, to get the face feature points and build face feature triangle that uses eyes and mouth as vertexes.

本文采用该算法训练人脸面部特征检测器，提取区域的几何中心进行面部特征点定位，获取以双眼和嘴巴为特征顶点的人脸特征三角形。

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We segment the face image into several "Windows" according to the prOportion relationship of organs and detect the feature points in each window.

根据人的面部器官所遵循的比例关系，将人脸划分为若干个窗口，在窗口内对面部特征点进行检测。

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Then, the classification abilities of different local positions in the face were evaluated, and feature points were chosen at the positions with the strongest discriminating power.

然后对人脸不同局部位置处采样点的分类能力进行评价，选择分类能力最强的位置提取特征点。

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