Real-Time Gaze Estimation with Online Calibration

被引：21
|
作者：
Sun, Li [1 ,4 ]
Song, Mingli [1 ,5 ]
Liu, Zicheng [2 ]
Sun, Ming-Ting [3 ]
机构：
[1] Zhejiang Univ, Hangzhou, Zhejiang, Peoples R China
[2] Microsoft Res, Beijing, Peoples R China
[3] Univ Washington, Seattle, WA 98195 USA
[4] Zhejiang Univ, Coll Comp Sci, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Univ, Microsoft Visual Percept Lab, Hangzhou, Zhejiang, Peoples R China
来源：
IEEE MULTIMEDIA | 2014年 / 21卷 / 04期
基金：
中国国家自然科学基金;
关键词：
TRACKING TECHNIQUES;
D O I：
10.1109/MMUL.2014.54
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new 3D model-based gaze estimation method using a single consumer depth camera sensor (via Kinect) improves person-specific eye parameters through online calibration.
引用
收藏
页码：28 / 37
页数：10
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