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Coding line structured light based on a line-scan camera and its calibration.

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    A novel coded line structured light system enhances 3D measurement for line-scan cameras. This method offers improved accuracy, efficiency, and compactness compared to traditional techniques.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Computer Vision

    Background:

    • Conventional 3D measurement using line-scan cameras and surface structured light faces challenges like complex calibration, intricate structures, and low accuracy.
    • Existing methods struggle with diverse surface reflectivity, limiting their application scope.

    Purpose of the Study:

    • To introduce a coded line structured light system for enhanced 3D measurement with line-scan cameras.
    • To overcome the limitations of traditional structured light projection techniques.

    Main Methods:

    • Developed a coded line laser projection system using a point laser and MEMS scanning galvanometer, matched to line-scan camera imaging.
    • Derived a 3D measurement model incorporating height, lateral information, and absolute phase.
    • Implemented a multi-position flat display calibration method and a periodic error correction technique (expansion-corrosion) for phase error correction.

    Main Results:

    • The proposed coded line structured light system demonstrates high measurement accuracy, efficiency, and compactness.
    • Experimental validation confirms the system's effectiveness and the feasibility of the calibration method.
    • The method successfully measures both diffuse and challenging reflective surfaces.

    Conclusions:

    • The coded line structured light approach offers a superior alternative for 3D measurement with line-scan cameras.
    • The system provides a cost-effective and high-performance solution for 3D metrology.
    • This technique expands the applicability of structured light 3D measurement to a wider range of surfaces.