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Polarized-state-based coding strategy and phase image estimation method for robust 3D measurement.

Zhenmin Zhu, Yulin Xie, Yigang Cen

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    Summary
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    This study introduces a new polarized structured light method for measuring shiny surfaces. It enhances robustness against camera defocus and improves fringe edge detection accuracy without extra hardware.

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    Area of Science:

    • Optics and Photonics
    • Metrology and Measurement Science

    Background:

    • Polarized structured light is effective for shiny surface measurement.
    • Traditional methods suffer from reduced signal-to-noise ratio (SNR) due to polarizing filters and camera defocus.
    • This degrades fringe edge detection accuracy.

    Purpose of the Study:

    • To propose a novel polarized-state-based structured light coding strategy and phase image estimation method.
    • To enhance measurement robustness in complex environments and improve accuracy.
    • To address challenges posed by polarizing filters and camera defocus.

    Main Methods:

    • A specialized polarized-state-based coding strategy is employed to preserve coding information.
    • A phase image estimation method utilizing Stokes parameters is developed to mitigate polarizing filter errors and extract information from saturated areas.
    • The proposed system requires no additional hardware compared to traditional setups.

    Main Results:

    • Experimental results demonstrate a significant reduction in the interference from camera defocus.
    • The robustness of fringe edge detection is markedly improved.
    • The proposed method achieves enhanced measurement accuracy and reliability.

    Conclusions:

    • The novel polarized-state-based approach significantly improves the robustness and accuracy of structured light measurements for shiny surfaces.
    • The method effectively overcomes limitations of traditional systems without requiring additional hardware.
    • This advancement offers a more reliable solution for metrology in challenging environments.