REAL-TIME 3D HEAD POSE ESTIMATION USING BOTH GEOMETRY AND LEARNING

被引：0
|
作者：
Raytchev, Bisser [1 ]
Kimura, Yusuke [2 ]
Yoda, Ikushi [3 ]
Sakaue, Katsuhiko [3 ]
机构：
[1] Hiroshima Univ, Hiroshima 730, Japan
[2] Univ Tsukuba, Tsukuba, Ibaraki, Japan
[3] AIST, Tokyo, Japan
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词：
3D Head Pose Estimation; Facial Gesture Interface; Combinatorial Optimization; Stereo Images;
D O I：
10.1109/ICIP.2010.5652916
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper we propose a very efficient and low-cost method for real-time 3D object pose estimation, suitable for operation under severe changes in the illumination conditions. The method consists of a geometry-based and learning-based stage: first a geometry-based pose estimation algorithm is used to obtain pose parameter values, which are utilized as supervised information during a following learning-based stage. The efficacy of the proposed approach is illustrated on a real-world application in a head pose based facial-gesture interface for automatic wheelchair navigation.
引用
收藏
页码：1525 / 1528
页数：4
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