[Submitted on 6 Jul 2026]
Title:Binocular Gaze Estimation with Single Camera and Single Light Source
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Abstract:According to commonly consented theories, the minimum hardware requirement for gaze tracker is one camera and two light sources to realize gaze estimation with free head movements. However, in some scenarios such as eye tracking on mobile devices, it is preferable to use less components, especially light sources. We propose a gaze estimation method with one camera and one light source. A "virtual light source" is introduced, which is geometrically placed symmetrically to the real light source with respect to the camera, and generates a "virtual glint" in the acquired image. We estimate the "virtual glint" by exploiting the relationship between the distance between two pupils and two glints in the captured image, and estimate the gaze with polynomial regression assuming two light sources are available. A new normalization factor for regression method is verified, which turns out to be practical for one-glint system. The performance is proved to be acceptable, while degradation is noticed compared to system with two actual light sources.
Comments: Accepted for presentation at the 2019 International Conference on Video, Signal and Image Processing (VSIP 2019), Wuhan, China, October 29-31, 2019; published in VSIP '19: Proceedings of the 2019 International Conference on Video, Signal and Image Processing, pp. 10-14, ACM, 2020; 4 figures, 1 table; ACM Proceedings ISBN: 978-1-4503-7148-3
Subjects:
Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)
Cite as: arXiv:2607.05473 [cs.CV]
(or arXiv:2607.05473v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2607.05473
arXiv-issued DOI via DataCite
Journal reference: VSIP '19: Proceedings of the 2019 International Conference on Video, Signal and Image Processing, pp. 10-14, ACM, 2020
Related DOI:
https://doi.org/10.1145/3369318.3369326
DOI(s) linking to related resources
Submission history
From: Tongbing Huang [view email] [v1] Mon, 6 Jul 2026 09:13:21 UTC (350 KB)
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