JOURNAL ARTICLE

3-D Gaze Tracking Using Pupil Contour Features

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:
Gaze Computer vision Artificial intelligence Pupil Computer science Feature (linguistics) Tracking (education) Cornea Eye tracking Curvature Tracking system Feature extraction Optics Mathematics Physics

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
11
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Gaze Tracking and Assistive Technology
Physical Sciences →  Computer Science →  Human-Computer Interaction
Glaucoma and retinal disorders
Health Sciences →  Medicine →  Ophthalmology
Advanced Computing and Algorithms
Social Sciences →  Social Sciences →  Urban Studies

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