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    Area of Science:

    • Optical Metrology
    • 3D Imaging and Reconstruction
    • Computer Vision

    Background:

    • High-speed 3D shape measurement is crucial for dynamic scene analysis.
    • Absolute phase unwrapping is essential for accurate 3D reconstruction in structured light systems.
    • Existing methods often require multiple patterns or complex setups, limiting speed.

    Purpose of the Study:

    • To develop an efficient absolute phase unwrapping method for high-speed 3D shape measurement.
    • To enable accurate fringe order determination with a single-camera, single-projector system.
    • To facilitate high-quality 3D reconstruction of complex objects and scenes.

    Main Methods:

    • Utilized three phase-shifted patterns and one binary random pattern.
    • Calculated wrapped phase from phase-shifted images.
    • Employed digital image correlation (DIC) for coarse correspondence using the binary random pattern.
    • Developed a computational framework for pixel-by-pixel fringe order determination.

    Main Results:

    • Successfully demonstrated an absolute phase unwrapping method for high-speed 3D measurement.
    • Achieved high-quality 3D shape measurement of complex scenes.
    • The method's efficiency is attributed to the use of only one additional pattern.

    Conclusions:

    • The proposed method offers a viable solution for high-speed and high-quality 3D shape measurement.
    • It simplifies the structured light system requirements by using minimal patterns.
    • This technique advances the field of real-time 3D metrology for dynamic applications.