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Single-pixel three-dimensional imaging with time-based depth resolution

Author

Listed:
  • Ming-Jie Sun

    (Beihang University
    SUPA, School of Physics and Astronomy, University of Glasgow)

  • Matthew P. Edgar

    (SUPA, School of Physics and Astronomy, University of Glasgow)

  • Graham M. Gibson

    (SUPA, School of Physics and Astronomy, University of Glasgow)

  • Baoqing Sun

    (SUPA, School of Physics and Astronomy, University of Glasgow)

  • Neal Radwell

    (SUPA, School of Physics and Astronomy, University of Glasgow)

  • Robert Lamb

    (Selex ES)

  • Miles J. Padgett

    (SUPA, School of Physics and Astronomy, University of Glasgow)

Abstract

Time-of-flight three-dimensional imaging is an important tool for applications such as object recognition and remote sensing. Conventional time-of-flight three-dimensional imaging systems frequently use a raster scanned laser to measure the range of each pixel in the scene sequentially. Here we show a modified time-of-flight three-dimensional imaging system, which can use compressed sensing techniques to reduce acquisition times, whilst distributing the optical illumination over the full field of view. Our system is based on a single-pixel camera using short-pulsed structured illumination and a high-speed photodiode, and is capable of reconstructing 128 × 128-pixel resolution three-dimensional scenes to an accuracy of ∼3 mm at a range of ∼5 m. Furthermore, by using a compressive sampling strategy, we demonstrate continuous real-time three-dimensional video with a frame-rate up to 12 Hz. The simplicity of the system hardware could enable low-cost three-dimensional imaging devices for precision ranging at wavelengths beyond the visible spectrum.

Suggested Citation

  • Ming-Jie Sun & Matthew P. Edgar & Graham M. Gibson & Baoqing Sun & Neal Radwell & Robert Lamb & Miles J. Padgett, 2016. "Single-pixel three-dimensional imaging with time-based depth resolution," Nature Communications, Nature, vol. 7(1), pages 1-6, November.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12010
    DOI: 10.1038/ncomms12010
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    Cited by:

    1. Yibo Xu & Liyang Lu & Vishwanath Saragadam & Kevin F. Kelly, 2024. "A compressive hyperspectral video imaging system using a single-pixel detector," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Patrick Kilcullen & Tsuneyuki Ozaki & Jinyang Liang, 2022. "Compressed ultrahigh-speed single-pixel imaging by swept aggregate patterns," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Yinqi Wang & Kun Huang & Jianan Fang & Ming Yan & E Wu & Heping Zeng, 2023. "Mid-infrared single-pixel imaging at the single-photon level," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

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