DocumentCode
38508
Title
Hybrid Method for 3-D Gaze Tracking Using Glint and Contour Features
Author
Chih-Chuan Lai ; Sheng-Wen Shih ; Yi-Ping Hung
Author_Institution
Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan
Volume
25
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
24
Lastpage
37
Abstract
Glint features have important roles in gaze-tracking systems. However, when the operation range of a gaze-tracking system is enlarged, the performance of glint-feature-based (GFB) approaches will be degraded mainly due to the curvature variation problem at around the edge of the cornea. Although the pupil contour feature may provide complementary information to help estimating the eye gaze, existing methods do not properly handle the cornea refraction problem, leading to inaccurate results. This paper describes a contour-feature-based (CFB) 3-D gaze-tracking method that is compatible to cornea refraction. We also show that both the GFB and CFB approaches can be formulated in a unified framework and, thus, they can be easily integrated. Furthermore, it is shown that the proposed CFB method and the GFB method should be integrated because the two methods provide complementary information that helps to leverage the strength of both features, providing robustness and flexibility to the system. Computer simulations and real experiments show the effectiveness of the proposed approach for gaze tracking.
Keywords
estimation theory; face recognition; feature extraction; gaze tracking; refraction; 3D gaze tracking; complementary information; contour features; cornea refraction problem; curvature variation problem; gaze estimation; glint features; glint-feature-based approach; hybrid method; pupil contour feature; Cameras; Cornea; Estimation; Light sources; Optical refraction; Tracking; Vectors; Cornea refraction; eye gaze tracking; glint; pupil contour;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2014.2329362
Filename
6826500
Link To Document