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Calibration method for a line-structured light vision sensor based on a single cylindrical target.

Zhenmin Zhu, Xinyun Wang, Fuqiang Zhou

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    A novel calibration method simplifies line-structured light vision sensor setup using a single cylindrical target. This approach enhances both calibration and measurement accuracy, verified by simulations and experiments.

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    Area of Science:

    • Computer Vision
    • Metrology
    • Optical Engineering

    Background:

    • Line-structured light vision sensors are crucial for 3D reconstruction and measurement.
    • Accurate calibration of these sensors is essential for reliable data acquisition.
    • Existing calibration methods can be complex and require multiple targets or steps.

    Purpose of the Study:

    • To introduce a new, simplified calibration method for line-structured light vision sensors.
    • To improve the accuracy and efficiency of the sensor calibration process.
    • To validate the proposed method through simulations and physical experiments.

    Main Methods:

    • Utilizes a single cylindrical target to capture laser stripe intersections.
    • Determines light plane parameters by analyzing the elliptical cross-section of the laser stripe.
    • Employs nonlinear optimization across multiple target locations for precise light plane equation determination.

    Main Results:

    • The method successfully calibrates line-structured light vision sensors.
    • Achieved higher calibration accuracy compared to existing methods.
    • Demonstrated improved measurement accuracy in both simulated and physical experiments.

    Conclusions:

    • The proposed single-target calibration method is effective and efficient.
    • Offers a simplified yet accurate approach for line-structured light sensor calibration.
    • The technique enhances overall system performance in 3D vision applications.