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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Fringe Projection Profilometry (FPP) is susceptible to systematic errors from local blur phenomena like defocus and subsurface scattering.
    • Existing methods struggle with local blur, as high-frequency patterns fail to separate direct and global light components effectively.
    • Local blur significantly degrades phase quality and 3D reconstruction accuracy in FPP systems.

    Purpose of the Study:

    • To develop and validate a flexible error correction method for FPP systems experiencing local blur.
    • To analyze the impact of local blur on phase quality and propose a compensation strategy.
    • To enhance the accuracy of 3D surface reconstruction in challenging optical conditions.

    Main Methods:

    • Thorough analysis of local blur's influence on phase quality in FPP.
    • Development of a concise error correction method to compensate for phase errors.
    • Application of spatially varying point spread functions and local frontal plane assumption for correction.
    • Measurement of bidirectional scattering-surface reflectance distribution function (BSDF) for subsurface scattering scenarios.

    Main Results:

    • The proposed method effectively alleviates systematic errors caused by local blur.
    • Significant improvement in the final 3D reconstruction accuracy across various scenes was demonstrated.
    • The method shows direct applicability for defocus phenomena and adaptability for subsurface scattering with material property measurement.

    Conclusions:

    • The introduced error correction method offers a robust solution for FPP systems affected by local blur.
    • This approach enhances the reliability and accuracy of 3D measurements in complex environments.
    • The findings contribute to advancing optical metrology techniques for real-world applications.