基于标准脸型的人脸3D姿态估计方法

针对二维人像的三维姿态估计，结合标准脸型、人脸的统计知识和射影几何提出一种方法：多次选取标准脸型眼角点、嘴角点、鼻下点等特征点得到特征三角形并确定人脸三维模型；其次计算人脸三维模型参数；基于透视投影模型计算旋转矩阵；基于最小二乘法计算三维姿态。提取的特征点易于标定，无需任何辅助设备，具有一定的准确性。

3D face pose estimation method based on standard face photo

For three-dimensional portrait pose estimation, combined with standard face, a human face statistical knowledge and projective geometry a method is proposed. Firstly, repeatedly select corners of mouth, eyes and points under the nose to get the characteristic triangular about face and build a three-dimensional model; secondly statistics face three-dimensional model parameters; Rotation matrix is then calculated based on the perspective projection model; Finally, calculate the three-dimensional gesture based on least squares method. The method of this article can be implemented without the auxiliary equipment, distinct feature points are easy to be located, with some accuracy.