校准
领域(数学)
计算机科学
计算机视觉
人工智能
遥感
地质学
数学
统计
纯数学
作者
Kang Wei,Xinxing Shao,Xiaoyuan He
标识
DOI:10.1016/j.optlastec.2025.113298
摘要
• Five representative large field-of-view calibration methods were selected for detailed comparisons and study. • The impacts of calibration accuracy on shape and displacement measurements were quantitatively explored. • The factors affecting the accuracy of camera intrinsic and extrinsic parameters were investigated. • Strengths and limitations of five representative calibration methods were discussed. In recent years, numerous techniques and methods for large field-of-view (FOV) camera calibration have been proposed for applications in aerospace and civil engineering. However, it remains challenging to delve into the specifics of a calibration method and compare its accuracy with that of other methods. This study comprehensively examined five representative large-FOV calibration methods and analyzed their differences in calibration parameters, epipolar distance, reprojection error, three-dimensional coordinate error, and displacement measurement error. Additionally, it focuses on evaluating the accuracy of the camera’s intrinsic parameters across several calibration methods and discusses the impact of two types of corresponding points used for extrinsic parameter calculation. The paper concludes by summarizing the key findings in large-FOV calibration and presenting the advantages and disadvantages of the selected methods.
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