Development of a wide-field-of-view head-mounted display utilizing freeform surfaces for oblique projection

Augmented reality (AR) technology overlays digital content onto the real world, in contrast to virtual reality (VR), which immerses users in a fully virtual environment. This fundamental distinction enables AR users to maintain continuous interaction with their physical surroundings while receiving enhanced digital information. In AR system design, optimizing both perspective effects and imaging performance is crucial. However, achieving a wide field of view (FOV), high resolution, and comfortable wearability in a head-mounted display (HMD) remains highly challenging. This paper presents a novel design methodology for a wide-FOV HMD system based on freeform optics and ipsilateral oblique projection. A multi-objective optimization framework, combining the non-dominated sorting genetic algorithm II (NSGA-II) and prior design knowledge, is employed to balance critical parameters such as image quality, weight, and cost. The resulting AR display achieves a full FOV of 75° × 40° and an exit pupil diameter of 14 × 12 mm-representing the widest FOV among comparable systems to date. Moreover, the ipsilateral oblique projection architecture brings the projection lens group closer to the user's head and reduces the tilt angle of the reflective visor, thereby enhancing ergonomic comfort. This configuration also reduces FOV losses due to stitching between intermediate reflective mirrors. The final assembled system demonstrates outstanding overall performance.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-06-17
DOI
https://doi.org/10.1364/oe.565210
Citations
2
Primary Topic
Advanced Optical Imaging Technologies
Type
article
Field-Weighted Citation Impact
2.27
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a wide-field-of-view head-mounted display utilizing freeform surfaces for oblique projection

Yue Liu, X. Wang, Yuefan Shan, Dewen Cheng et al.
2 citations
Optics Express
Advanced Optical Imaging Technologies
2.27
article

Development of a wide-field-of-view head-mounted display utilizing freeform surfaces for oblique projection

Yue Liu, X. Wang, Yuefan Shan, Dewen Cheng, Da Wang, Jia-Ping Sun, Yongtian Wang
article en
2 citations

Abstract

Augmented reality (AR) technology overlays digital content onto the real world, in contrast to virtual reality (VR), which immerses users in a fully virtual environment. This fundamental distinction enables AR users to maintain continuous interaction with their physical surroundings while receiving enhanced digital information. In AR system design, optimizing both perspective effects and imaging performance is crucial. However, achieving a wide field of view (FOV), high resolution, and comfortable wearability in a head-mounted display (HMD) remains highly challenging. This paper presents a novel design methodology for a wide-FOV HMD system based on freeform optics and ipsilateral oblique projection. A multi-objective optimization framework, combining the non-dominated sorting genetic algorithm II (NSGA-II) and prior design knowledge, is employed to balance critical parameters such as image quality, weight, and cost. The resulting AR display achieves a full FOV of 75° × 40° and an exit pupil diameter of 14 × 12 mm-representing the widest FOV among comparable systems to date. Moreover, the ipsilateral oblique projection architecture brings the projection lens group closer to the user's head and reduces the tilt angle of the reflective visor, thereby enhancing ergonomic comfort. This configuration also reduces FOV losses due to stitching between intermediate reflective mirrors. The final assembled system demonstrates outstanding overall performance.

Optics ExpressVol. 33(15)
Association for Rural Development (IN)
Sustainable cities and communities
Openalex Percentile: Top 11%
Advanced Optical Imaging Technologies
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.