A calibration-free gaze tracking technique

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