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.

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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
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article

Dynamic Eyebox Steering for Improved Pinlight AR Near-Eye Displays

Henry Fuchs, Xinxing Xia, Dongyu Qiu, Tat‐Jen Cham et al.
IEEE Transactions on Visualization and Computer Graphics
Advanced Optical Imaging Technologies
article

Dynamic Eyebox Steering for Improved Pinlight AR Near-Eye Displays

Henry Fuchs, Xinxing Xia, Dongyu Qiu, Tat‐Jen Cham, Frank Guan, Zujun Yu, Andrei State
article en

Abstract

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.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(11)
University of North Carolina at Chapel Hill (US), Singapore Institute of Technology (SG), Nanyang Technological University (SG), Institut Systèmes Intelligents et de Robotique (FR)
Openalex Percentile: Top 60%
Advanced Optical Imaging Technologies
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Dynamic Eyebox Steering for Improved Pinlight AR Near-Eye Displays — Henry Fuchs, Xinxing Xia, et al. · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS