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Binocular vision measurement using Dammann grating.

Shengbin Wei, Shaoqing Wang, Changhe Zhou

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    Summary
    This summary is machine-generated.

    This study introduces a novel 3D profilometry system using a binocular camera and Dammann grating. The system achieves accurate 3D reconstruction with a low-cost, compact apparatus.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • 3D profilometry is crucial for various applications, but existing methods often face limitations in cost, size, or accuracy.
    • Dammann gratings offer precise light manipulation capabilities, yet their integration into 3D profilometry systems requires novel approaches.

    Purpose of the Study:

    • To develop a novel, low-cost, and compact 3D profilometry system.
    • To introduce a new 'ray constraint' for enhanced binocular matching in 3D reconstruction.
    • To demonstrate the system's capability in reconstructing complex 3D models.

    Main Methods:

    • Utilized a binocular camera system combined with a 64x64 Dammann grating to generate a regular square laser array.
    • Implemented a novel 'ray constraint' for robust binocular matching, leveraging the grating's light-splitting properties.
    • Employed triangulation based on successful binocular matching to generate accurate point clouds, minimizing outliers.

    Main Results:

    • Achieved outlier-free point cloud generation through the proposed binocular matching method.
    • Developed a compact experimental apparatus weighing under 170g and measuring less than 14cm.
    • Successfully reconstructed a complex 3D model of an Apollo statue using over 150,000 points under indoor lighting.

    Conclusions:

    • The proposed 3D profilometry system offers a practical solution with advantages of low cost, low power consumption, and small size.
    • The novel ray constraint significantly improves binocular matching accuracy for 3D reconstruction.
    • The system demonstrates high potential for diverse practical applications requiring efficient 3D scanning.