Abstract
Eye tracking on head-mounted displays (HMDs) is computationally intensive and requires multiple illuminators. The wide gaze angles at which eye-tracking cameras are positioned on HMDs make it difficult to obtain optimally good views of the eye. Further, it is difficult to determine the optical axis of the eye with high accuracy since the human physique does not always conform perfectly with the geometric shapes used to model it. This disclosure describes techniques that can establish the optical axis of the eye by leveraging the refracted view of the pupil under general illumination to infer the shape and position of the corneal surface modeled as a paraboloid. The number of pixels of the edge of the pupil can serve to observe the refraction instead of reflections from one or more LED illuminators. The position of the cornea can thus be determined by computing the optimal position such that the rays of both cameras to the edge of the visible pupil refract from the corneal position to form a circle on the plane that contains the pupil. The optimization approach yields the position of the vertex of the paraboloid approximation of the cornea along with the direction of its axis and the 3D radius of the pupil circle.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Spencer, Jason, "Enhancing the Accuracy and Performance of Eye Tracking in Head-Mounted Displays", Technical Disclosure Commons, (April 30, 2025)
https://www.tdcommons.org/dpubs_series/8059