基于共面点的摄像机标定方法研究

Wenlong Li, Wentao Wang, Wei Cheng, H. Ge, Shuo Jin, Yuan Ren, Xinqiang Ma
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引用次数: 1

摘要

为了实现摄像机标定,通过建立摄像机标定模型,得到摄像机内外参数的计算过程。基于共面点,简化了摄像机标定模型。利用畸变模型和Levenberg-Marquardt算法,提高了系统的标定精度。实验结果表明,标定误差更小,误差数据更集中,实现了摄像机的精确标定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on camera calibration method based on coplanar points
In order to achieve the camera calibration, the calculation process of the camera’s internal and external parameters was obtained through the established camera calibration model. Based on the coplanar points, the camera calibration model was simplified. With distortion model and Levenberg-Marquardt algorithm, the system calibration’s accuracy was improved. The experimental results showed that the calibration error was smaller and the error data was more concentrated, which realized the accurate calibration of the camera.
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