Head Pose Recovery Using 3D Cross Model

摘要：

This paper presents a new method for 3D head pose recovery from video by using a novel 3D cross model to track the head motion. Given an initial frontal face of a head, a biologically-plausible 3D cross model is constructed to represent the head which is robust to lighting and facial expression changes. By updating the model templates dynamically, the effects of self-occlusion, head large motion and gradual illumination changes can be diminished. When the head is hidden or moves out of scenes, the model is reinitialized automatically. Experimental results show that the method can efficiently recover the head pose and eliminate problems of the cumulative error and illumination changes.

关键词： 3D cross model head pose recovery head tracking

作者: Yifei Xu Jinhua Zeng Yaoru Sun

作者单位: Department of Computer Science and Technology University of Tongji Shanghai, China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 423-426

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）