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A Camera Calibration Technique Based on OpenCV

机译:一种基于OpenCV的摄像机校准技术

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摘要

Camera calibration is very improtant in 3D computer vision systems. In this paper, the camera model in OpenCV (open source computer vision library) is discussed, the non-linear distortion of the tangential and radial distortion aberration are considered. Based on these, we introduce the corner extraction of the Camera Calibration Toolbox for Matlab, and an arithmetic of camera calibration based on OpenCV is given. The proposed algorithm can achieve accurate results. It has features such as computational efficiency and good cross-platform portability. It is able to meet the needs of 3D computer vision systems. Experimental results show the feasibility of the proposed method.
机译:相机校准在3D计算机视觉系统中非常啰嗦。在本文中,讨论了OpenCV(开源计算机视觉库)中的相机模型,考虑了切向和径向失真像差的非线性失真。基于这些,我们介绍了MATLAB的相机校准工具箱的角落提取,并给出了基于OpenCV的相机校准算法。所提出的算法可以实现准确的结果。它具有计算效率和良好的跨平台便携性等功能。它能够满足3D计算机视觉系统的需求。实验结果表明了该方法的可行性。

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