Dynamic Eyebox Steering for Improved Pinlight AR Near-Eye Displays
An optical-see-through near-eye display (NED) for augmented reality (AR) allows the user to perceive virtual and real imagery simultaneously. Existing technologies for optical-see-through AR NEDs involve trade-offs between key metrics such as field of view (FOV), eyebox size, form factor, etc. We have enhanced an existing compact wide-FOV pinlight AR NED design with real-time 3D pupil localization in order to dynamically steer and thus effectively enlarge the usable eyebox. This is achieved with a dual-camera rig that captures stereoscopic views of the pupils. The 3D pupil location is used to dynamically calculate a display pattern that spatio-temporally modulates the light entering the wearer's eyes. We have built a demonstrable compact prototype and have conducted a user study that indicates the effectiveness of our eyebox steering method (e.g., without eyebox steering, in 10.5% of our tests, users were unable to perceive the test pattern correctly before experiment timeout; with eyebox steering, that fraction decreased dramatically to 1.25%). This is a small yet crucial step in making simple wide-FOV pinlight NEDs usable for human users and not just as demonstration prototypes filmed with a precisely positioned camera standing in for the user's eye. Further contributions of this paper include a detailed description of display design, calibration technique, and user study design, all of which may benefit other NED research.
Authors
- Henry Fuchs (ORCID: https://orcid.org/0000-0002-8834-4638)
- Xinxing Xia (ORCID: https://orcid.org/0000-0001-5482-8696)
- Dongyu Qiu
- Tat‐Jen Cham (ORCID: https://orcid.org/0000-0001-5264-2572)
- Frank Guan (ORCID: https://orcid.org/0000-0003-0549-142X)
- Zujun Yu (ORCID: https://orcid.org/0000-0003-3898-2452)
- Andrei State
Institutions
- University of North Carolina at Chapel Hill (US)
- Singapore Institute of Technology (SG)
- Nanyang Technological University (SG)
- Institut Systèmes Intelligents et de Robotique (FR)
Publication Details
- Journal
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1109/tvcg.2025.3616807
- Primary Topic
- Advanced Optical Imaging Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00