Slippage-robust Gaze Tracking for Near-eye Display
This addresses a critical issue for users of virtual and augmented reality devices by improving gaze tracking accuracy despite device slippage, representing a strong specific gain in the domain.
The paper tackled the problem of gaze tracking errors caused by slippage in head-mounted near-eye displays by proposing a method based on an aspheric eyeball model to compute the optical axis and rotation center, resulting in performance that significantly outperforms previous methods, almost doubling the suboptimal method.
In recent years, head-mounted near-eye display devices have become the key hardware foundation for virtual reality and augmented reality. Thus head-mounted gaze tracking technology has received attention as an essential part of human-computer interaction. However, unavoidable slippage of head-mounted devices (HMD) often results higher gaze tracking errors and hinders the practical usage of HMD. To tackle this problem, we propose a slippage-robust gaze tracking for near-eye display method based on the aspheric eyeball model and accurately compute the eyeball optical axis and rotation center. We tested several methods on datasets with slippage and the experimental results show that the proposed method significantly outperforms the previous method (almost double the suboptimal method).