基于多点模型的3D人脸姿态估计方法

3D Face Pose Estimation Based on Multi-points Model

改进传统的活动形状模型法,准确地提取人脸特征点后,针对人脸形状特性,使用人脸的多个特征点作为人脸模型,通过最小二乘法优化求解,精确估计3D人脸空间姿态。实验结果表明,新方法不仅可以获得稳定的姿态解,而且与同类方法比较具有良好的姿态估计精确度。

The improved method of active shape model is used to extract face feature points accurately. Then in view of the characteristic of face shape, taking some face feature points as the face model, 3D space face pose is estimated via the least- squares method optimization. The experiment results show that the new method not only can achieve steady pose solution, but also has better estimation accuracy compared with the same kind methods.