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Optical three-dimensional shape measurement based on structured light and a binocular vision system.

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    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |December 15, 2022
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    Summary

    This study introduces a novel 3D shape measurement technique using wavelet transform and a binocular vision system. It enhances accuracy and speed by eliminating the phase unwrapping process for structured light 3D reconstruction.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Structured light 3D shape measurement is hindered by fringe pattern count and phase unwrapping.
    • One-shot technology captures wrapped phase but struggles with complex surfaces.
    • Phase unwrapping significantly impacts measurement speed and accuracy.

    Purpose of the Study:

    • To develop a faster and more accurate 3D shape measurement method.
    • To overcome limitations of traditional structured light techniques.
    • To eliminate the need for phase unwrapping in 3D reconstruction.

    Main Methods:

    • A two-dimensional wavelet transform using the Morlet wavelet to obtain wrapped phase.
    • A binocular vision system for direct 3D information acquisition without phase unwrapping.
    • Calculation of preliminary disparity and sub-pixel optimization for increased matching accuracy.

    Main Results:

    • Direct 3D information retrieval from wrapped phase using calibration parameters.
    • Utilized average phase calculation to identify wrapped phase boundaries.
    • Experimental validation demonstrating improved accuracy and speed compared to traditional methods.

    Conclusions:

    • The proposed wavelet transform and binocular vision system effectively measures 3D shapes.
    • The method significantly enhances measurement speed and accuracy.
    • Eliminating phase unwrapping is key to the improved performance.