关键词: 姿态估计, 颅像重合, 三维模型, 最小二乘法

Abstract: 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.

Key words: pose estimation, photographic superimposition, three-dimensional model, least squares method