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Theoretical Error Analysis with Camera Parameter Calibration

机译:相机参数校准的理论误差分析

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The camera calibration for the intrinsic parameters such as the principal point and the principal distance is one of the most important techniques for the 3-D measurement applications based on the cameras' 2D images: the principal point is the intersection of optical axis of camera and image plane, and the principal distance is the distance between the center of lens and principal point. Though the techniques of camera parameter calibration have been intensively investigated by many researchers, the calibration errors were just examined through limited experiments and simulations and no more. Taking up the two-fiducial-plane camera calibration technique, this paper examined the calibration errors theoretically for various conditions such as the fiducial-plane translation, and the principal distances where the extraction errors of image coordinates of the fiducial points were considered as the source of the errors. The estimation error of F and P are theoretically formulized with the analytical equations, and the effectiveness of the formulas is confirmed by comparing the values by the theory with those by the simulations.
机译:相机对固有参数(例如主点和主距离)的校准是基于相机2D图像的3-D测量应用程序中最重要的技术之一:主点是相机光轴与光轴的交点。像平面,主距离是镜头中心与主点之间的距离。尽管许多研究人员对相机参数校准技术进行了深入研究,但校准误差只是通过有限的实验和仿真来检查的,而仅此而已。本文采用双基准平面摄像机标定技术,从理论上考察了基准平面平移等各种条件下的标定误差,以及以基准点的图像坐标提取误差为来源的主要距离错误。 F和P的估计误差在理论上用解析方程式进行了公式化,并且通过将理论值与模拟值进行比较来验证公式的有效性。

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