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Non-line-of-sight-imaging using dynamic relay surfaces.

Marco La Manna, Ji-Hyun Nam, Syed Azer Reza

    Optics Express
    |March 4, 2020
    PubMed
    Summary

    This study demonstrates non-line-of-sight (NLOS) imaging with dynamic relay surfaces. The novel method achieves high-quality reconstructions even when the relay surface changes during data acquisition.

    Area of Science:

    • Optics
    • Computational Imaging
    • Photonics

    Background:

    • Non-line-of-sight (NLOS) imaging aims to visualize objects occluded from direct view.
    • Current NLOS methods typically rely on static, flat relay surfaces for photon scattering.
    • Dynamic environments pose a significant challenge for existing NLOS imaging techniques.

    Purpose of the Study:

    • To develop and validate a novel NLOS imaging approach capable of reconstructing scenes using non-planar and dynamic relay surfaces.
    • To demonstrate that NLOS imaging can be performed effectively even when the relay surface changes during data acquisition.

    Main Methods:

    • Utilized a dual-detector system to capture time-of-flight (ToF) data from both the relay surface and the hidden scene.
    • Developed a reconstruction algorithm that associates multiply-scattered photons with their origin on the relay surface.

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  • Enabled the system to compensate for the movement of the relay surface during data collection.

    • Main Results:

    • Successfully performed NLOS imaging with a non-planar and rapidly changing relay surface.
    • Reconstruction quality with a dynamic relay surface was comparable to that achieved with traditional static relay surfaces.
    • The developed method accurately accounts for the changing positions of the relay surface.

    Conclusions:

    • This work overcomes a key limitation in NLOS imaging by enabling reconstructions in dynamic environments.
    • The proposed technique significantly expands the applicability of NLOS imaging to real-world scenarios with moving surfaces.
    • Future research can build upon this method for more robust imaging in complex, changing conditions.