Real-Time Head Pose Tracking with Online Face Template Reconstruction

被引：24
|
作者：
Li, Songnan [1 ]
Ngan, King Ngi [1 ]
Paramesran, Raveendran [2 ]
Sheng, Lu [1 ]
机构：
[1] Chinese Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China
[2] Univ Malaya, Kuala Lumpur, Malaysia
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 2016年 / 38卷 / 09期
关键词：
Head pose tracking; deformable face model; iterative closest point; RGB-Depth camera;
D O I：
10.1109/TPAMI.2015.2500221
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose a real-time method to accurately track the human head pose in the 3-dimensional (3D) world. Using a RGB-Depth camera, a face template is reconstructed by fitting a 3D morphable face model, and the head pose is determined by registering this user-specific face template to the input depth video.
引用
收藏
页码：1922 / 1928
页数：7
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