一种基于共面点的经典摄像机标定方法

Chen Xiaobo, Tang Zhenhao, Yang Yinghua, Qin Shu-kai
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引用次数: 0

摘要

作为三维重建的必要步骤,是计算机视觉获取三维物体空间信息的前提和基础,对摄像机标定方法的研究具有重要的理论研究意义和实用价值。本文介绍了一种新的基于共面点的经典摄像机标定方法,该方法简单、灵活、精度较高。该方法只需要一个共面目标,不需要相机运动。我们采用分步标定的思路,先标定主点,然后忽略镜头畸变,线性求解所有参数,当精度要求较高时,我们可以采用翁氏镜头畸变模型,用非线性算法求解畸变系数。图像实验证明了该方法的准确性和有效性。
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A new classic camera calibration method based on coplanar Points
As a necessary step of 3D reconstruction, and a premise and base for computer vision obtaining the spatial information of 3D objects, research on the camera calibration methods has great important significance of theoretical study and practical value. This paper introduces a new simply, flexible and more accurate classic camera calibration method based on coplanar points. This method only requires a coplanar target and without camera motion. We use step-by-step calibration thinking, and first calibrate the principal point, and then neglect the lens distortion and linearly solve all the parameters, when high accuracy is required, we can include Weng's lens distortion model and solve the distortion coefficient by nonlinear algorithm. The experiment of images proves the proposed method is accurate and effective.
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