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High dynamic range 3D measurement based on polarization and multispectrum co-modulation.

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    This study introduces a novel high dynamic range (HDR) 3D measurement method using fringe projection profilometry (FPP) to overcome challenges with mixed reflections. The technique effectively measures both overexposed and underexposed surfaces simultaneously, improving 3D shape measurement accuracy.

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    Area of Science:

    • Optical Engineering
    • Metrology
    • Computer Vision

    Background:

    • Three-dimensional (3D) shape measurement is crucial in various fields, with fringe projection profilometry (FPP) being a popular non-contact, high-speed technique.
    • Real-world measurement scenarios frequently involve mixed specular and diffuse reflections, leading to co-existing overexposed and underexposed regions, which challenges conventional FPP.
    • Simultaneously measuring surfaces with both overexposed and underexposed areas using FPP remains a significant technical hurdle.

    Purpose of the Study:

    • To address the limitations of FPP in mixed reflection environments.
    • To propose a novel high dynamic range (HDR) 3D measurement method capable of simultaneously reconstructing overexposed and underexposed surfaces.
    • To develop a registration-error-free calibration framework for multi-channel cameras used in HDR 3D measurements.

    Main Methods:

    • A mixed reflection model was developed to analyze polarization and multispectrum co-modulation effects in fringe images.
    • A polarized color camera captured fringe images, leveraging co-modulation to achieve different intensity modulations across channels.
    • Sub-images were synthesized to form high-modulation fringe images, enabling simultaneous reconstruction of surfaces with varying reflectivity.

    Main Results:

    • The proposed method successfully achieved simultaneous 3D shape measurement of overexposed and underexposed surfaces in mixed reflection scenarios.
    • Experimental results demonstrated superior performance compared to conventional methods, particularly for objects exhibiting both specular and diffuse reflections.
    • A novel no-registration-error calibration framework for multi-channel cameras was introduced, enhancing data acquisition in HDR regions and eliminating registration errors.

    Conclusions:

    • The proposed polarization and multispectrum co-modulation based HDR 3D measurement method effectively overcomes the limitations of traditional FPP in complex reflection environments.
    • The developed technique enables accurate 3D reconstruction of objects with simultaneous specular and diffuse surfaces.
    • The novel calibration framework ensures precise multi-channel camera registration, contributing to the overall accuracy and reliability of the HDR 3D measurement system.