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    This study introduces a new method for calibrating long-wave infrared ultra-wide-angle cameras. A novel thermal infrared chessboard and subpixel corner detection significantly improve calibration precision.

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    Area of Science:

    • Optics and Photonics
    • Infrared Imaging Technology
    • Computer Vision

    Background:

    • Accurate calibration of ultra-wide-angle cameras is crucial for various applications.
    • Long-wave infrared (LWIR) imaging presents unique challenges due to thermal characteristics.
    • Existing calibration methods may lack precision for specialized camera systems.

    Purpose of the Study:

    • To propose a novel calibration method for long-wave infrared (LWIR) ultra-wide-angle cameras.
    • To enhance calibration precision through a new thermal infrared chessboard and advanced corner detection.
    • To validate the effectiveness and analyze potential errors of the proposed calibration technique.

    Main Methods:

    • Design of a novel calibration chessboard with high thermal infrared contrast using a thermoelectric semiconductor refrigeration device.
    • Development of an advanced subpixel corner positioning method tailored for infrared checkerboard patterns.
    • Implementation and experimental validation of the proposed camera calibration procedure.

    Main Results:

    • Achieved a mean reprojection error of 0.32 pixels.
    • Obtained a root mean square error of 0.39 pixels.
    • Demonstrated improved calibration precision compared to existing methods through comparative studies.

    Conclusions:

    • The proposed method effectively calibrates LWIR ultra-wide-angle cameras with high precision.
    • The novel thermal infrared chessboard and subpixel positioning contribute significantly to accuracy.
    • The method shows promise for applications requiring precise infrared camera metrology.