Privacy-Preserving Eye Videos using Rubber Sheet Model
This addresses privacy concerns for users of video-based eye trackers, but it is incremental as it builds on existing models.
The paper tackled privacy issues in eye videos by replacing identifiable iris textures with a different template using the Rubber Sheet Model, demonstrating that manipulation does not significantly degrade segmentation and pupil detection accuracy.
Video-based eye trackers estimate gaze based on eye images/videos. As security and privacy concerns loom over technological advancements, tackling such challenges is crucial. We present a new approach to handle privacy issues in eye videos by replacing the current identifiable iris texture with a different iris template in the video capture pipeline based on the Rubber Sheet Model. We extend to image blending and median-value representations to demonstrate that videos can be manipulated without significantly degrading segmentation and pupil detection accuracy.