基于深度数据的空间人脸旋转角度估计

Estimation of face rotation based on depth data

提出一种基于三维人脸深度数据的人脸姿态计算方法。利用人脸的深度数据以及与其一一对应的灰度图像,根据微分几何原理和相应的曲率算法与人脸数据中的灰度特征对人脸面部关键特征点定位,进而计算出人脸姿态在三维空间中的3个姿态角。实验证明该方法能在姿态变化情况下实现对人脸旋转角的准确估计,为进一步的人脸识别和表情分析提供基础。

A novel method of calculating the rotation of face is proposed based on the 3D facial depth information.Facial feature points are extracted by the depth map and its corresponding gray image according to differential geometry theory,curvature algorithm and intensity features generated by face data.And then the three pose angles of the face in the space will be calculated.Experimental results show that the proposed algorithm can achieve an accurate estimation of face rotation with the variation of pose and provide a priori knowledge for face recognition and facial expression analysis.