Face Pose Estimation Using Near-Infrared Images

摘要：

Abstract- Face pose estimation is a research focus in the field of face recognition. In this paper, we present an accurate and fast approach to estimate the pose of face in near-infrared images. First, the approach automatically extracts the following feature points from a normalized face image: two pupils, the nose tip and the center line of mouth. Then we use pupils and nose tip to estimate the pose rotation of yaw, use the pupils, nose tip and the center line of mouth to estimate the pose rotation of pitch. The experiments show that when the facial rotation angle is less than 30 degrees in yaw, 20 degrees in pitch, the estimation error of our approach is less than 5 degrees, and the processing time of each image is about 8ms.

关键词： face pose estimation nose tip location mouth location near- infrared images integral projection

作者: Xiaoni Liang Weiqing Tong

作者单位: Department of Computer Science and Technology East China Normal University Shanghai, China Department of Computer Science and TechnologyEast China Normal UniversityShanghai, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 352-356

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）