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    Area of Science:

    • Optics and Photonics
    • 3D Imaging and Reconstruction
    • Computational Imaging

    Background:

    • Reconstructing 3D shapes of concealed objects is challenging.
    • Existing methods for non-line-of-sight (NLOS) imaging have limitations.
    • Extending NLOS imaging to view objects through small apertures is an open problem.

    Purpose of the Study:

    • To develop a new approach for 3D shape recovery of objects hidden behind an obstruction with only a small aperture.
    • To extend the capabilities of NLOS 3D reconstruction from "around a corner" to "through a small hole" scenarios.
    • To establish a scene-independent theoretical framework for extracting 3D information.

    Main Methods:

    • Utilized three instances of laser scattering to probe and reconstruct the 3D shape.
    • Developed a geometric mapping theoretical framework based on the rectilinear propagation of light.
    • Employed a commercially available nanosecond laser and a single-photon avalanche photodiode (APD) for experiments.

    Main Results:

    • Successfully reconstructed the 3D shapes of three hidden objects.
    • Achieved centimeter-level resolution in the 3D reconstructions.
    • Demonstrated the feasibility of imaging through a small hole using laser scattering.

    Conclusions:

    • The proposed approach effectively recovers 3D shapes concealed behind obstructions via small apertures.
    • The method provides a practical solution for non-line-of-sight 3D reconstruction using accessible hardware.
    • This work advances the field of computational imaging for hidden object detection and characterization.