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Error of image saturation in the structured-light method.

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    Image saturation causes significant phase errors in structured-light 3D reconstruction. This study analyzes phase error, providing principles for selecting optimal system parameters like phase-shift number and saturation degree to minimize errors.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Phase errors in structured-light 3D reconstruction are often caused by image saturation.
    • Current methods for reducing these errors lack a theoretical basis for optimal parameter selection.

    Purpose of the Study:

    • To provide a comprehensive analysis of phase errors induced by image saturation in phase-measuring structured-light systems.
    • To establish rational principles for selecting optimal system parameters to minimize phase errors.

    Main Methods:

    • Detailed theoretical analysis of phase error due to image saturation.
    • In-depth investigation of the influence of phase-shift number and saturation degree on phase error.
    • Verification through simulations and experimental results.

    Main Results:

    • Image saturation significantly impacts phase error in structured-light 3D scanning.
    • Phase-shift number and saturation degree are key factors influencing phase error magnitude.
    • Optimal parameter ranges and selection principles were identified.

    Conclusions:

    • A complete theory of phase error due to saturation is established.
    • The findings provide a rational basis for optimal system parameter selection in phase-measuring structured-light methods.
    • The derived principles can be practically applied to improve 3D reconstruction accuracy.