%0 Journal Article %1 GuestrinEizenman06tbme %A Guestrin, Elias Daniel %A Eizenman, Moshe %D 2006 %J IEEE Transactions on Biomedical Engineering %K v1500 ieee paper engineering ai multimodal interface user interaction image analysis zzz.mmi %N 6 %P 1124--1133 %R 10.1109/TBME.2005.863952 %T General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections %V 53 %X 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.

@article{GuestrinEizenman06tbme, abstract = {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.}, added-at = {2015-07-11T11:41:16.000+0200}, author = {Guestrin, Elias Daniel and Eizenman, Moshe}, biburl = {https://www.bibsonomy.org/bibtex/29a0514c2c89cecad2d049ff22ecac758/flint63}, doi = {10.1109/TBME.2005.863952}, file = {IEEE Digital Library:2006/GuestrinEizenman06tbme.pdf:PDF}, groups = {public}, interhash = {9a4e208608f65a854a32a02dbe2886f7}, intrahash = {9a0514c2c89cecad2d049ff22ecac758}, issn = {0018-9294}, journal = {IEEE Transactions on Biomedical Engineering}, keywords = {v1500 ieee paper engineering ai multimodal interface user interaction image analysis zzz.mmi}, month = {#jun#}, number = 6, pages = {1124--1133}, timestamp = {2018-04-16T12:10:09.000+0200}, title = {General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections}, username = {flint63}, volume = 53, year = 2006 }