Analysis of subject-dependent point-of-gaze estimation bias in the cross-ratios method

Abstract

1The cross-ratios method for point-of-gaze estimation uses the invariance property of cross-ratios in projective transformations. The inherent causes of the subject-dependent point-of-gaze estimation bias exhibited by this method have not been well characterized in the literature. Using a model of the eye and the components of a system (camera, light sources) that estimates point-of-gaze, a theoretical framework for the cross-ratios method is developed. The analysis of the cross-ratios method within this framework shows that the subject-dependent estimation bias is caused mainly by (i) the angular deviation of the visual axis from the optic axis and (ii) the fact that the virtual image of the pupil center is not coplanar with the virtual images of the light sources that illuminate the eye (corneal reflections). The theoretical framework provides a closed-form analytical expression that predicts the estimation bias as a function of subject-specific eye parameters.

A novel remote eye gaze tracking approach with dynamic calibration

“…The point of gaze can be estimated roughly with these features. But the estimation result may not be accurate, so calibration procedure is required [3], [4]. Yoo and Chung [5] proposed a calibration method for remote eye gaze tracking MMSP' 13 based on cross-ratio.…”