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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2014 22nd International Conference on
Conference_Location :
Stockholm
DOI :
10.1109/ICPR.2014.209