General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections
Overview
Biophysics
Authors
Affiliations
This paper presents a general theory for the remote estimation of the point-of-gaze (POG) from the coordinates of the centers of the pupil and corneal reflections. Corneal reflections are produced by light sources that illuminate the eye and the centers of the pupil and corneal reflections are estimated in video images from one or more cameras. The general theory covers the full range of possible system configurations. Using one camera and one light source, the POG can be estimated only if the head is completely stationary. Using one camera and multiple light sources, the POG can be estimated with free head movements, following the completion of a multiple-point calibration procedure. When multiple cameras and multiple light sources are used, the POG can be estimated following a simple one-point calibration procedure. Experimental and simulation results suggest that the main sources of gaze estimation errors are the discrepancy between the shape of real corneas and the spherical corneal shape assumed in the general theory, and the noise in the estimation of the centers of the pupil and corneal reflections. A detailed example of a system that uses the general theory to estimate the POG on a computer screen is presented.
Cecchetti S, Duchowski A, Cavallo M Brain Sci. 2025; 15(2).
PMID: 40002482 PMC: 11852410. DOI: 10.3390/brainsci15020149.
The fundamentals of eye tracking part 3: How to choose an eye tracker.
Nystrom M, Hooge I, Hessels R, Andersson R, Hansen D, Johansson R Behav Res Methods. 2025; 57(2):67.
PMID: 39843609 PMC: 11754381. DOI: 10.3758/s13428-024-02587-x.
New Directions for Ophthalmic OCT - Handhelds, Surgery, and Robotics.
Foust J, McCloud M, Narawane A, Trout R, Chen X, Dhalla A Transl Vis Sci Technol. 2025; 14(1):14.
PMID: 39808124 PMC: 11737465. DOI: 10.1167/tvst.14.1.14.
The fundamentals of eye tracking part 4: Tools for conducting an eye tracking study.
Niehorster D, Nystrom M, Hessels R, Andersson R, Benjamins J, Hansen D Behav Res Methods. 2025; 57(1):46.
PMID: 39762687 PMC: 11703944. DOI: 10.3758/s13428-024-02529-7.
Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation.
Jindal S, Yadav M, Manduchi R Conf Comput Vis Pattern Recognit Workshops. 2024; 2024:604-614.
PMID: 39493731 PMC: 11529379. DOI: 10.1109/cvprw63382.2024.00065.