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3D shape measurement method for high-reflection surface based on fringe projection.

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    This study introduces an adaptive projection intensity method to improve 3D measurements on reflective surfaces. The technique effectively mitigates overshooting, enhancing accuracy for 3D measurement systems.

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    Area of Science:

    • Optics
    • Computer Vision
    • Metrology

    Background:

    • 3D measurement using fringe projection is widely researched.
    • Overshooting on high-reflection or specular surfaces presents a significant challenge, causing saturated pixels and inaccurate measurements.

    Purpose of the Study:

    • To propose and validate an adaptive projection intensity adjustment method for fringe projection 3D measurement.
    • To eliminate saturated pixels caused by overshooting on challenging surfaces.
    • To enhance the accuracy and reliability of 3D measurements.

    Main Methods:

    • Adaptive projection intensity adjustment based on uniform gray-level images to estimate surface projection intensity.
    • Utilizing horizontal and vertical gray-coded patterns for coordinate matching between projected and captured images.
    • Employing sinusoidal fringes to identify the high-reflection mapping area (HRMA) for decoding reliability checks.

    Main Results:

    • The proposed method effectively avoids overshooting on high-reflection surfaces.
    • Accurate coordinate matching and reliable decoding were achieved.
    • The developed measurement system demonstrated the method's validity.

    Conclusions:

    • The adaptive projection intensity adjustment method successfully addresses overshooting in fringe projection 3D measurement.
    • This technique leads to improved measurement accuracy, achieving a minimum root-mean-square error.
    • The method offers a robust solution for 3D measurements on challenging specular and high-reflection surfaces.