Privacy-Preserving Eye Videos using Rubber Sheet Model
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Apr 2020.
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Citing papers per year: 2023: 2; 2024: 1; 2025: 2.
5 papers.
- 2023Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challengescited by 12
- 2023Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Surveycited by 3
- 2024Swap It Like Its Hot: Segmentation-based spoof attacks on eye-tracking imagescited by 2
- 2025Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfercited by 1
- 2025Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking Studycited by 1
- 2025Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking Study14 Apr 2025
- 2025Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfer6 Mar 2025
- 2024Swap It Like Its Hot: Segmentation-based spoof attacks on eye-tracking images22 Apr 2024
- 2023Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey19 Sep 2023
- 2023Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges23 May 2023