基于共线点目标关节约束的摄像机场标定方法

Zhiyuan Dang, Zhiyi Zhang, Zhenhua Wang
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引用次数: 0

摘要

提出了一种基于特殊设计的共面点目标和多个投影不变量的视觉测量系统现场快速标定方法。该方法的主要特点是将畸变模型从相机模型中分离出来,利用基本矩阵精确确定畸变中心,并基于共面消失点、加权线距和交叉比不变性等约束定义畸变测量函数。然后利用Levenberg-Marquardt算法优化得到最优畸变系数,并对摄像机内外参数进行线性标定。实验结果表明,该算法能够快速准确地获取相机参数,易于在工业现场实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camera Field Calibration Method Using Collinear Point Target Joint Constraints
A method based on a specially designed coplanar point target and multiple projection invariants is proposed for efficient and rapid on-site calibration of visual measurement systems. The main features of this method include the separation of the distortion model from the camera model, the accurate determination of the distortion center using the fundamental matrix, and the definition of the distortion measure function based on constraints such as coplanar vanishing point, weighted line distance, and cross ratio invariance. The optimal distortion coefficients are then obtained through optimization using the Levenberg-Marquardt algorithm, followed by linear calibration of the camera intrinsic and extrinsic parameters. Experimental results demonstrate that this algorithm can rapidly and accurately obtain camera parameters, and it is easy to implement on-site in industrial settings.
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