Head Pose Estimation by Imperceptible Structured Light Sensing

摘要：

We describe a method of estimating head pose in space by imperceptible structured light sensing. Firstly, through elaborate pattern projection strategy and cameraprojector synchronization, pattern-illuminated images of the subject and the corresponding scene-texture image are captured under imperceptible patterned illumination. 3D positions of the key facial feature points are then derived by a combined use of (1) the 2D facial feature points in the scene-texture image that are localized by AAM, and (2) the point cloud generated by structured light sensing. Eventually, the head orientation and translation are estimated by SVD of a correlation matrix that is generated from the 3D corresponding feature point pairs over the various image frames. Extensive experiments show that the proposed method is effective, accurate, and fast in 6-DOF head pose estimation, making it suitable for use in real-time applications.

作者: Jingwen Dai Ronald Chung

作者单位: Department of Mechanical and Automation Engineering,The Chinese University of Hong Kong,Shatin,Hong Kong

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

会议地点: 上海

会议语种:英文

页码: 1646-1651

在线出版日期: 2011-05-09（万方平台首次上网日期，不代表论文的发表时间）