A calibration-free gaze tracking technique

Abstract

We propose a novel method to estimate and track the 3D line of sight of a person based on 3D computer vision techniques. Most of the existing nonintrusive gaze tracking methods share a common drawback that users have to perform certain experiments in calibrating the user-dependent parameters before using the gaze tracking systems. These parameters are functions of the radius of the cornea, the position of the pupil, the position of user's head, etc. Our approach, in contrast, employs multiple cameras and multiple point light sources to estimate the light of sight without using any of the user-dependent parameters. As a consequence, the users can avoid the inconvenient calibration process which may produce possible calibration errors. Computer simulations were performed to confirm the proposed method.