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Improved topography reconstruction of volume scattering objects using structured light.

Simeon Geiger, Philipp Hank, Alwin Kienle

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |October 10, 2022
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    Structured light 3D reconstruction is improved by correcting for volume scattering errors. New methods quantify light propagation for accurate surface topography, enhancing 3D imaging of scattering objects.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Metrology

    Background:

    • Structured light projection is a common technique for 3D surface topography reconstruction.
    • Volume scattering in objects can introduce significant errors in reconstructed topography.
    • Existing methods often struggle with scattering materials, limiting 3D imaging applications.

    Purpose of the Study:

    • To theoretically investigate and quantify errors in 3D topography reconstruction caused by volume scattering.
    • To develop and validate novel methods for correcting these scattering-induced errors.
    • To improve the accuracy of 3D surface reconstruction for scattering objects.

    Main Methods:

    • Monte Carlo simulations were employed to model light propagation and scattering within objects.
    • The radiative transfer equation was used to quantify light propagation for error correction.
    • Two correction methods were developed: a local correction for small variations and a GPU-accelerated Monte Carlo simulation for large variations.

    Main Results:

    • The study successfully identified and quantified errors in 3D topography reconstruction due to volume scattering.
    • A significant improvement in reconstructed topography accuracy was demonstrated using the proposed correction methods.
    • Both local and global correction approaches showed effectiveness on exemplary objects like a cylinder and a tooth.

    Conclusions:

    • Volume scattering poses a significant challenge for accurate 3D topography reconstruction using structured light.
    • The proposed methods based on radiative transfer and advanced simulations effectively correct scattering-induced errors.
    • This work advances the capability of 3D imaging for scattering objects, with applications in various scientific and industrial fields.