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Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

Author

Listed:
  • Ji Hyun Nam

    (University of Wisconsin – Madison)

  • Eric Brandt

    (University of Wisconsin – Madison)

  • Sebastian Bauer

    (University of Wisconsin – Madison)

  • Xiaochun Liu

    (University of Wisconsin – Madison)

  • Marco Renna

    (Politecnico di Milano)

  • Alberto Tosi

    (Politecnico di Milano)

  • Eftychios Sifakis

    (University of Wisconsin – Madison)

  • Andreas Velten

    (University of Wisconsin – Madison
    University of Wisconsin – Madison)

Abstract

Non-Line-Of-Sight (NLOS) imaging aims at recovering the 3D geometry of objects that are hidden from the direct line of sight. One major challenge with this technique is the weak available multibounce signal limiting scene size, capture speed, and reconstruction quality. To overcome this obstacle, we introduce a multipixel time-of-flight non-line-of-sight imaging method combining specifically designed Single Photon Avalanche Diode (SPAD) array detectors with a fast reconstruction algorithm that captures and reconstructs live low-latency videos of non-line-of-sight scenes with natural non-retroreflective objects. We develop a model of the signal-to-noise-ratio of non-line-of-sight imaging and use it to devise a method that reconstructs the scene such that signal-to-noise-ratio, motion blur, angular resolution, and depth resolution are all independent of scene depth suggesting that reconstruction of very large scenes may be possible.

Suggested Citation

  • Ji Hyun Nam & Eric Brandt & Sebastian Bauer & Xiaochun Liu & Marco Renna & Alberto Tosi & Eftychios Sifakis & Andreas Velten, 2021. "Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26721-x
    DOI: 10.1038/s41467-021-26721-x
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    References listed on IDEAS

    as
    1. Matthew O’Toole & David B. Lindell & Gordon Wetzstein, 2018. "Confocal non-line-of-sight imaging based on the light-cone transform," Nature, Nature, vol. 555(7696), pages 338-341, March.
    2. Charles Saunders & John Murray-Bruce & Vivek K Goyal, 2019. "Computational periscopy with an ordinary digital camera," Nature, Nature, vol. 565(7740), pages 472-475, January.
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