角膜イメージングを用いた暗黙的キャリブレーションの基礎的検討

抄録

User calibration required to calculate user-specific parameters is time-consuming in eye-tracking. Therefore, implicit user calibration, which does not use explicit reference points, has been studied. However, typical calibration methods are limited to the display screen. In this paper, we propose a novel implicit user calibration that focuses on the corneal reflections of binocular eyes. We hypothesize that images reflected on the cornea of binocular eyes extracted around the reflection of the point-of-gaze are similar, and the similarity of images reflected on the cornea is used to identify the kappa angle without constraint, such as screen plane. As a simulation study, we confirmed the hypothesis’s validation and the effectiveness of the proposed method through 3DCG simulation.