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    This study introduces dynamic moiré profilometry using high-density binary coding for digital light projectors (DLPs). This method enhances measurement speed and accuracy for dynamic 3D measurements.

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    Area of Science:

    • Optics and Photonics
    • 3D Metrology
    • Computer Vision

    Background:

    • Traditional moiré profilometry often uses sinusoidal fringes, limiting refresh rates and resolution.
    • Digital Light Projectors (DLPs) offer high refresh rates and resolution that are underutilized by conventional fringe patterns.

    Purpose of the Study:

    • To develop a dynamic computer-generated moiré profilometry technique using high-density binary coding.
    • To leverage the full capabilities of DLPs for enhanced dynamic 3D measurement.
    • To improve the accuracy and speed of 3D surface measurement.

    Main Methods:

    • Implemented high-density binary coding for fringe patterns, replacing conventional 256-gray-scale sinusoidal fringes.
    • Designed a minimum four-pixel period binary fringe satisfying the sampling theorem for optimal DLP performance.
    • Utilized computer-generated moiré profilometry with the new binary fringe approach.

    Main Results:

    • Increased the refresh rate from 120 Hz to over 1 kHz, enabling real-time dynamic measurements.
    • Achieved a minimum equivalent wavelength, leading to purer calculated moiré fringes.
    • Demonstrated significantly improved measuring accuracy compared to traditional methods.

    Conclusions:

    • The proposed high-density binary coding moiré profilometry is feasible and practical for dynamic 3D measurements.
    • The method offers higher measuring accuracy and speed, suitable for demanding applications.
    • This technique has potential for widespread use in dynamic 3D measurement scenarios.