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Applications of projected circle centers in camera calibration

机译:投影圆心在摄像机标定中的应用

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摘要

A novel camera calibration algorithm for solving the problems of both circles based and spheres based camera calibration is proposed. By treating the images of both a circle and a sphere as a revolving stick, the introduced algorithm gives the constraint of the imaged absolute conic (IAC) with the help of the projected circle centers. It is also introduced on how to compute the projected circle centers of different calibration objects. Once the projected circle centers are computed, the Euclidean structure then can be determined by the constraint of the IAC. Experiments with simulated and real data are carried out to show the validity of the proposed camera calibration algorithm.
机译:提出了一种新颖的摄像机标定算法,用于解决基于圆和基于球的摄像机标定问题。通过将圆形和球形的图像都视为旋转棒,引入的算法借助投影的圆心给出了成像的绝对圆锥(IAC)的约束。还介绍了如何计算不同校准对象的投影圆心。一旦计算出投影的圆心,即可通过IAC的约束确定欧几里得结构。进行了模拟和真实数据实验,证明了所提出的相机校准算法的有效性。

著录项

  • 来源
    《Machine Vision and Applications》 |2010年第3期|p.301-307|共7页
  • 作者

    Zijian Zhao; Yuncai Liu;

  • 作者单位

    Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 200240 Shanghai, People's Republic of China;

    Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 200240 Shanghai, People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    camera calibration; projected circle center; euclidean structure;

    机译:相机校准;投影圆心;欧氏结构;

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