A machine vision approach to video based eye tracker calibration

Calibration of eye trackers to establish the relationship between the user´s eye and the target environment is important to achieve accurate results. This paper concentrates on video based eye trackers with the gaze target being a computer monitor. Different calibration procedures have been proposed by many people (Sheena and Borah, 1981; Stampe, 1993; Baluja and Pomerleau, 1994) to relate the image of the eye from the tracker to a gaze position on the monitor. In this paper a machine vision approach to calibrating the eye tracker is used; specifically the Tsai camera calibration approach (Tsai, 1987; Lenz & Tsai, 1988). A comparison with two other eye tracker calibration methods is then presented.