IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-023-44032-1.html
   My bibliography  Save this article

Waveguide holography for 3D augmented reality glasses

Author

Listed:
  • Changwon Jang

    (Reality Labs Research, Meta)

  • Kiseung Bang

    (Reality Labs Research, Meta)

  • Minseok Chae

    (Seoul National University)

  • Byoungho Lee

    (Seoul National University)

  • Douglas Lanman

    (Reality Labs Research, Meta)

Abstract

Near-eye displays are fundamental technology in the next generation computing platforms for augmented reality and virtual reality. However, there are remaining challenges to deliver immersive and comfortable visual experiences to users, such as compact form factor, solving vergence-accommodation conflict, and achieving a high resolution with a large eyebox. Here we show a compact holographic near-eye display concept that combines the advantages of waveguide displays and holographic displays to overcome the challenges towards true 3D holographic augmented reality glasses. By modeling the coherent light interactions and propagation via the waveguide combiner, we demonstrate controlling the output wavefront using a spatial light modulator located at the input coupler side. The proposed method enables 3D holographic displays via exit-pupil expanding waveguide combiners, providing a large software-steerable eyebox. It also offers additional advantages such as resolution enhancement capability by suppressing phase discontinuities caused by pupil replication process. We build prototypes to verify the concept with experimental results and conclude the paper with discussion.

Suggested Citation

  • Changwon Jang & Kiseung Bang & Minseok Chae & Byoungho Lee & Douglas Lanman, 2024. "Waveguide holography for 3D augmented reality glasses," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44032-1
    DOI: 10.1038/s41467-023-44032-1
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-44032-1
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-44032-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jongchan Park & KyeoReh Lee & YongKeun Park, 2019. "Ultrathin wide-angle large-area digital 3D holographic display using a non-periodic photon sieve," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    2. Jungkwuen An & Kanghee Won & Young Kim & Jong-Young Hong & Hojung Kim & Yongkyu Kim & Hoon Song & Chilsung Choi & Yunhee Kim & Juwon Seo & Alexander Morozov & Hyunsik Park & Sunghoon Hong & Sungwoo Hw, 2020. "Slim-panel holographic video display," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    3. Liang Shi & Beichen Li & Changil Kim & Petr Kellnhofer & Wojciech Matusik, 2021. "Towards real-time photorealistic 3D holography with deep neural networks," Nature, Nature, vol. 591(7849), pages 234-239, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ethan Tseng & Grace Kuo & Seung-Hwan Baek & Nathan Matsuda & Andrew Maimone & Florian Schiffers & Praneeth Chakravarthula & Qiang Fu & Wolfgang Heidrich & Douglas Lanman & Felix Heide, 2024. "Neural étendue expander for ultra-wide-angle high-fidelity holographic display," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    2. Hyeonseung Yu & Youngrok Kim & Daeho Yang & Wontaek Seo & Yunhee Kim & Jong-Young Hong & Hoon Song & Geeyoung Sung & Younghun Sung & Sung-Wook Min & Hong-Seok Lee, 2023. "Deep learning-based incoherent holographic camera enabling acquisition of real-world holograms for holographic streaming system," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Xiaoli Jing & Ruizhe Zhao & Xin Li & Qiang Jiang & Chengzhi Li & Guangzhou Geng & Junjie Li & Yongtian Wang & Lingling Huang, 2022. "Single-shot 3D imaging with point cloud projection based on metadevice," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. M. Makowski & J. Bomba & A. Frej & M. Kolodziejczyk & M. Sypek & T. Shimobaba & T. Ito & A. Kirilyuk & A. Stupakiewicz, 2022. "Dynamic complex opto-magnetic holography," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Daeho Yang & Wontaek Seo & Hyeonseung Yu & Sun Il Kim & Bongsu Shin & Chang-Kun Lee & Seokil Moon & Jungkwuen An & Jong-Young Hong & Geeyoung Sung & Hong-Seok Lee, 2022. "Diffraction-engineered holography: Beyond the depth representation limit of holographic displays," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    6. Zijian Shi & Zhensong Wan & Ziyu Zhan & Kaige Liu & Qiang Liu & Xing Fu, 2023. "Super-resolution orbital angular momentum holography," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Hyounghan Kwon & Tianzhe Zheng & Andrei Faraon, 2022. "Nano-electromechanical spatial light modulator enabled by asymmetric resonant dielectric metasurfaces," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    8. Pengcheng Chen & Xiaoyi Xu & Tianxin Wang & Chao Zhou & Dunzhao Wei & Jianan Ma & Junjie Guo & Xuejing Cui & Xiaoyan Cheng & Chenzhu Xie & Shuang Zhang & Shining Zhu & Min Xiao & Yong Zhang, 2023. "Laser nanoprinting of 3D nonlinear holograms beyond 25000 pixels-per-inch for inter-wavelength-band information processing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    9. Gong, Bin & An, Aimin & Shi, Yaoke & Zhang, Xuemin, 2024. "Fast fault detection method for photovoltaic arrays with adaptive deep multiscale feature enhancement," Applied Energy, Elsevier, vol. 353(PA).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44032-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.