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Cohesive framework for non-line-of-sight imaging based on Dirac notation.

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    This study introduces a unified theoretical framework for non-line-of-sight (NLOS) imaging, unifying diverse methods like back-propagation and phasor fields. It offers a rigorous mathematical approach to understand NLOS imaging limitations and capabilities.

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    Area of Science:

    • Computational imaging
    • Wave optics
    • Quantum mechanics

    Background:

    • Non-line-of-sight (NLOS) imaging reconstructs scenes around corners.
    • Current NLOS methods use varied assumptions and light transport models, limiting applicability.
    • Existing experimental and computational frameworks present accuracy-reconstruction time trade-offs.

    Purpose of the Study:

    • To establish a cohesive theoretical framework for NLOS imaging.
    • To rigorously analyze the limitations and advantages of existing NLOS approaches.
    • To provide a unified mathematical foundation for diverse NLOS imaging techniques.

    Main Methods:

    • Utilizing Dirac notation and quantum mechanics concepts.
    • Defining a core set of equations for NLOS imaging.
    • Deriving existing NLOS methods (back-propagation, phasor fields, f-k migration) from the unified framework.
    • Demonstrating the Rayleigh-Sommerfeld diffraction operator as the wave-based propagation operator.
    • Proving the equivalence of back-propagation and wave-based formulations via unitary propagation operators.

    Main Results:

    • A single equation framework unifying various NLOS imaging methods.
    • Identification of the Rayleigh-Sommerfeld operator as the fundamental propagation operator.
    • Mathematical proof of equivalence between back-propagation and wave-based NLOS imaging.
    • Demonstration of unitary propagation operators in wave-based methods.

    Conclusions:

    • The proposed framework deepens the understanding of NLOS imaging.
    • It provides a cohesive intuition for imaging complex NLOS scenes.
    • The unified approach expands the practical utility of NLOS imaging techniques.