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High-quality 3D shape measurement by kernel-optimized high sinusoidal similarity dither patterns.

Peng Zhou, Ning Cai, Ting Wang

    Applied Optics
    |December 28, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a kernel-optimized dithering technique for high-quality sinusoidal fringes in 3D measurement. The method enhances accuracy, particularly for narrow strips, by improving fringe pattern similarity.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Error-diffusion dithering is crucial for 3D measurement accuracy.
    • Traditional methods struggle with generating high-quality sinusoidal fringe patterns.
    • Sinusoid similarity directly impacts the precision of 3D measurements.

    Purpose of the Study:

    • To develop an advanced dithering technique for generating superior sinusoidal fringes.
    • To enhance the accuracy of 3D measurements using improved fringe patterns.
    • To address limitations in traditional dithering methods for fringe projection.

    Main Methods:

    • A kernel-optimized dithering technique based on the Floyd-Steinberg algorithm was developed.
    • An optimization strategy considering both intensity and phase was established.
    • The binary defocusing technique was utilized for fringe generation.

    Main Results:

    • The proposed method successfully generates high-quality sinusoidal fringes.
    • Simulations and experiments confirmed improved 3D measurement performance.
    • Effectiveness was demonstrated across various defocusing amounts, especially in narrow strips.

    Conclusions:

    • The kernel-optimized dithering technique significantly enhances 3D measurement accuracy.
    • This method offers a robust solution for generating precise sinusoidal fringes.
    • The approach is particularly beneficial for applications requiring high precision in challenging geometries.