通过光学数字联合优化实现紧凑型自由曲面近眼显示系统设计

IF 1.9 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Frontiers in Physics Pub Date : 2024-08-19 DOI:10.3389/fphy.2024.1440129
Huiming Xu, Tong Yang, Dewen Cheng, Yongtian Wang
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引用次数: 0

摘要

近眼显示(NED)系统旨在向人眼投射内容,在增强现实(AR)和虚拟现实(VR)领域举足轻重,为用户提供身临其境的体验。小体积是工业和消费者使用时尚、易穿戴、舒适的 NED 系统的关键。自由形态表面可以大大减小系统体积和重量,同时提高系统规格。然而,要进一步缩小近眼显示系统的体积仍面临巨大挑战,因为仅使用自由曲面光学元件也会受到限制。本文介绍了一种通过强大的光学数字联合设计来设计紧凑型自由曲面 NED 系统的新方法。该方法将几何自由形态光学设计与图像补偿神经网络的深度学习相结合,解决了具有复杂自由形态表面的离轴非对称结构问题。本文介绍了一个设计实例,以证明所提方法的有效性。具体而言,与采用传统方法设计的系统相比,自由曲面 NED 系统的体积缩小了约 63%,同时仍能保持高质量的显示性能。所提出的方法为设计下一代超小型 NED 系统开辟了一条新途径。
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Compact freeform near-eye display system design enabled by optical-digital joint optimization
The near-eye display (NED) systems, designed to project content into the human eye, are pivotal in the realms of augmented reality (AR) and virtual reality (VR), offering users immersive experiences. A small volume is the key for a fashionable, easy-to-wear, comfortable NED system for industrial and consumer use. Freeform surfaces can significantly reduce the system volume and weight while improving the system specifications. However, great challenges still exist in further reducing the volume of near-eye display systems as there is also a limit when using only freeform optics. This paper introduces a novel method for designing compact freeform NED systems through a powerful optical–digital joint design. The method integrates a geometrical freeform optical design with deep learning of an image compensation neural network, addressing off-axis nonsymmetric structures with complex freeform surfaces. A design example is presented to demonstrate the effectiveness of the proposed method. Specifically, the volume of a freeform NED system is reduced by approximately 63% compared to the system designed by the traditional method, while still maintaining high-quality display performance. The proposed method opens a new pathway for the design of a next-generation ultra-compact NED system.
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来源期刊
Frontiers in Physics
Frontiers in Physics Mathematics-Mathematical Physics
CiteScore
4.50
自引率
6.50%
发文量
1215
审稿时长
12 weeks
期刊介绍: Frontiers in Physics publishes rigorously peer-reviewed research across the entire field, from experimental, to computational and theoretical physics. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, engineers and the public worldwide.
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