基于照片的人脸特征点提取。
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。
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.
基于积分投影的人脸图像特征点的提取方法对人脸进行定位特别精确。
Bonus point projection based on the characteristics of face images from the point of methodology is precised for people face special position.
一般的人脸姿态估计方法要通过提取脸部特征点之间的关系或根据已知的三维人脸模型来估测人脸的方向。
A new pose estimation strategy based on seven hair templates has been presented to estimate the orientation of face.
文章给出了这些特征点的提取方法，对与表情变化无关的人脸的矢量化方法进行了研究，并对人脸特征数据库设计和优化进行了探讨。
It discusses the method of detecting these points, the expression-independent vectorization of human face and also the arrangement and optimization of the facial feature database.
然后交互地修正人脸特点的准确正面位置，并从侧面图象提取特征点的深度；
Secondly the exact front positions of features are rectified by hand with a friendly interface, the depth positions of the feature points are defined from side image manually.
首先结合几何约束与曲率信息定位特征点，根据特征点确定人脸对称面，提取人脸侧面轮廓线。
Then the symmetrical plane of 3D face is determined based on the feature points, and the profile is determined by the obtained symmetrical plane.
首先结合几何约束与曲率信息定位特征点，根据特征点确定人脸对称面，提取人脸侧面轮廓线。
Then the symmetrical plane of 3D face is determined based on the feature points, and the profile is determined by the obtained symmetrical plane.
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