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Robust and accuracy calibration method for a binocular camera using a coding planar target.

Yulong Yin, Huabing Zhu, Pei Yang

    Optics Express
    |February 25, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A novel binocular camera calibration method uses a unique coding target for accurate 3D measurements. This approach enhances robustness and significantly reduces calibration errors compared to existing methods.

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    Area of Science:

    • Computer Vision
    • Metrology

    Background:

    • Precise binocular vision 3D measurement relies on accurate camera calibration.
    • Existing methods may struggle with partial occlusion and complex backgrounds.

    Purpose of the Study:

    • To develop a high-precision and robust binocular camera calibration method.
    • To improve the accuracy and stability of binocular vision systems.

    Main Methods:

    • Designed a coding target with unique corner codes for robust identification, even with occlusion.
    • Introduced zenith and azimuth angles to analyze and enhance calibration stability.
    • Combined reprojection and 3D geometric constraints for multi-constraint optimization.

    Main Results:

    • Significantly decreased standard deviations for intrinsic and extrinsic parameters.
    • Achieved substantial reductions in mean reprojection and 3D geometric errors.
    • Demonstrated improved performance compared to Zhang's method in validation experiments.

    Conclusions:

    • The proposed coding target-based method offers high accuracy and robustness for binocular camera calibration.
    • The multi-constraint optimization refines calibration parameters effectively.
    • Validated effectiveness for practical binocular vision applications.