DocumentCode
177820
Title
3-D Gaze Tracking Using Pupil Contour Features
Author
Chih-Chuan Lai ; Sheng-Wen Shih ; Hsin-Ruey Tsai ; Yi-Ping Hung
Author_Institution
Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan
fYear
2014
fDate
24-28 Aug. 2014
Firstpage
1162
Lastpage
1166
Abstract
Glint features have important roles in gaze tracking systems. But 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. Experiments show the effectiveness of the proposed approach for gaze tracking.
Keywords
edge detection; feature extraction; gaze tracking; 3D gaze tracking; cornea refraction problem; curvature variation problem; eye gaze estimation; gaze tracking method; gaze tracking system; glint feature based; pupil contour feature; pupil contour features; Accuracy; Cameras; Cornea; Estimation; Light sources; Tracking; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location
Stockholm
ISSN
1051-4651
Type
conf
DOI
10.1109/ICPR.2014.209
Filename
6976919
Link To Document