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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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    This study introduces a novel calibration method for cameras on non-orthogonal two-axis turntables. It accurately determines camera position and attitude, overcoming limitations of ideal turntable assumptions for precise visual measurements.

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    Area of Science:

    • Robotics and Automation
    • Computer Vision and Image Processing
    • Mechanical Engineering

    Background:

    • Cameras mounted on two-axis turntables are crucial for expanding field of view and measurement range in visual tasks.
    • Accurate calibration of camera position and attitude relative to the turntable is essential for reliable visual measurements.
    • Conventional methods assume ideal orthogonal turntables, failing to account for real-world deviations like non-intersecting axes or off-center camera mounting.

    Purpose of the Study:

    • To propose a novel position and attitude calibration method for cameras mounted on non-orthogonal two-axis turntables.
    • To address the significant errors caused by discrepancies between actual physical turntables and idealized models.
    • To establish a robust calibration technique that accounts for non-ideal turntable geometries.

    Main Methods:

    • The method models the spatial relationship between the azimuth and pitch axes of the turntable, even when they are not orthogonal or intersecting.
    • It leverages the geometric invariant characteristics of the camera during motion.
    • Turntable axes are recovered, a base coordinate system is established, and subsequently, the camera's position and attitude are calibrated.

    Main Results:

    • The proposed method accurately describes the spatial relationship between non-orthogonal turntable axes.
    • It successfully recovers turntable axes and establishes a base coordinate system.
    • Calibration of the camera's position and attitude is achieved, validated by simulations and experiments.

    Conclusions:

    • The developed calibration method is effective for non-orthogonal two-axis turntables, a common scenario in real-world applications.
    • It significantly improves the accuracy of visual measurements by accounting for real-world turntable imperfections.
    • The method provides a reliable solution for camera-turntable calibration, enhancing the performance of various visual tasks.