Estimating point-of-regard using corneal surface image

Abstract

Recently, the eye-tracker has been developed as a daily-use device. However, when an eye-tracker is used daily, the problem of calibration arises. Even when the calibration for computing the relationship between the scene and eye camera is conducted in advance, the relationship is not maintained in prolonged use. Therefore, we propose a method for conserving the relationship between the scene and eye camera during the execution of an eye-tracking program. The texture information of the corneal surface image is used to estimate the point-of-regard. We confirm the feasibility of the proposed method through preliminary experiments.