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

页码：1525 / 1528

页数：4

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