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    This study introduces a novel 3D surface measurement technique for high-speed, high-accuracy shape acquisition. The method achieves 10,000 Hz 3D reconstruction using synchronized cameras and a mechanical projector.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Accurate and high-speed 3D surface measurement is crucial for various industrial and scientific applications.
    • Existing methods often face limitations in speed, accuracy, or complexity.
    • Developing a system capable of real-time, sub-pixel accurate 3D reconstruction remains a significant challenge.

    Purpose of the Study:

    • To present a novel computational framework for high-speed and high-accuracy 3D surface measurement.
    • To enable absolute shape measurement with sub-pixel accuracy.
    • To achieve 3D reconstruction rates up to 10,000 Hz.

    Main Methods:

    • Development of a custom-designed mechanical projector and two synchronized high-speed cameras.
    • Capturing precisely phase-shifted fringe patterns for accurate data acquisition.
    • Employing a stereo-vision method with encoded statistical patterns to generate a rough disparity map.
    • Utilizing wrapped phase as a constraint to refine the disparity map for enhanced accuracy.

    Main Results:

    • The system successfully achieves high-speed 3D surface measurement at rates up to 10,000 Hz.
    • Sub-pixel accuracy in absolute shape measurement is demonstrated.
    • The synchronization of the projector and cameras ensures precise fringe pattern capture.
    • The computational framework effectively refines disparity maps for accurate 3D reconstruction.

    Conclusions:

    • The proposed method offers a significant advancement in high-speed, high-accuracy 3D surface measurement.
    • The system's performance is validated through experimental results.
    • This technique has the potential for broad applications in fields requiring rapid and precise 3D data acquisition.