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Phasor field diffraction based reconstruction for fast non-line-of-sight imaging systems

Author

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  • Xiaochun Liu

    (University of Wisconsin – Madison)

  • Sebastian Bauer

    (University of Wisconsin – Madison)

  • Andreas Velten

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

Abstract

Non-line-of-sight (NLOS) imaging recovers objects using diffusely reflected indirect light using transient illumination devices in combination with a computational inverse method. While capture systems capable of collecting light from the entire NLOS relay surface can be much more light efficient than single pixel point scanning detection, current reconstruction algorithms for such systems have computational and memory requirements that prevent real-time NLOS imaging. Existing real-time demonstrations also use retroreflective targets and reconstruct at resolutions far below the hardware limits. Our method presented here enables the reconstruction of room-sized scenes from non-confocal, parallel multi-pixel measurements in seconds with less memory usage. We anticipate that our method will enable real-time NLOS imaging when used with emerging single-photon avalanche diode array detectors with resolution only limited by the temporal resolution of the sensor.

Suggested Citation

  • Xiaochun Liu & Sebastian Bauer & Andreas Velten, 2020. "Phasor field diffraction based reconstruction for fast non-line-of-sight imaging systems," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-15157-4
    DOI: 10.1038/s41467-020-15157-4
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