Real-Time Head Pose Tracking with Online Face Template Reconstruction

被引：23

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

页码：1922 / 1928

页数：7

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