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Double-contact constraint-based calibration method for a line-structured light vision sensor using a sphere target.

Mingwei Shao, Weihao Kong, Jianjun Chen

    Optics Express
    |November 11, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a novel sphere target calibration method for line-structured light vision sensors. The technique achieves high precision (0.014mm/0.017mm) and can synchronously determine camera intrinsic parameters.

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    Area of Science:

    • Metrology and Measurement Science
    • Computer Vision and Image Processing
    • Robotics and Automation

    Background:

    • Accurate calibration of line-structured light vision sensors is crucial for 3D reconstruction.
    • Existing methods often face challenges with precision and complexity.
    • Sphere targets offer unique geometric properties beneficial for calibration.

    Purpose of the Study:

    • To propose and validate a novel calibration method for line-structured light vision sensors using a sphere target.
    • To achieve high-precision 3D coordinate extraction and camera parameter determination.
    • To eliminate perspective projection errors through geometric constraints.

    Main Methods:

    • Utilizing a sphere target with a known radius placed in multiple positions.
    • Extracting feature points from the sphere's outline to fit a projected ellipse.
    • Calculating the light stripe, vanishing line, and light plane normal vector using geometric properties.
    • Employing an iterative optimization algorithm (Levenberg-Marquardt) to precisely determine 3D coordinates.
    • Synchronously determining camera intrinsic parameters when using more than three sphere positions.

    Main Results:

    • Achieved calibration precision of 0.014mm/0.017mm within a 230mm x 180mm measurement area.
    • Demonstrated elimination of perspective projection errors.
    • Confirmed the complete expression of the light plane.
    • Showcased the robustness and accuracy through simulations and physical experiments.

    Conclusions:

    • The proposed sphere target calibration method is highly precise and effective for line-structured light vision sensors.
    • The method simplifies calibration and improves accuracy by leveraging geometric properties and iterative optimization.
    • Synchronous determination of camera intrinsic parameters is possible, further enhancing the system's utility.