图学学报
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摘要: 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。
关键词: 深度图, 人脸特征定位, 人脸曲面, 三维曲率, 旋转角度估计
Abstract: 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.
Key words: depth map, facial feature location, facial surface, 3D curvature, estimation of rotation
蒋建国, 胡珍珍, 詹 曙. 基于深度数据的空间人脸旋转角度估计[J]. 图学学报.
Jiang Jianguo, Hu Zhenzhen, Zhan Shu. Estimation of face rotation based on depth data[J]. Journal of Graphics.
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http://www.txxb.com.cn/CN/Y2012/V33/I4/71