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Calibrating effective focal length for central catadioptric cameras using one space line

机译:使用一条空间线校准中央折反射相机的有效焦距

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摘要

In camera calibration, focal length is the most important parameter to be estimated, while other parameters can be obtained by prior information about scene or system configuration. In this paper, we present a polynomial constraint on the effective focal length with the condition that all the other parameters are known. The polynomial degree is 4 for paracatadioptric cameras and 16 for other catadioptric cameras. However, if the skew is 0 or the ratio between the skew and effective focal length is known, the constraint becomes a linear one or a polynomial one with degree 4 on the effective focal length square for paracatadioptric cameras and other catadioptric cameras, respectively. Based on this constraint, we propose a simple method for estimation of the effective focal length of central catadioptric cameras. Unlike many approaches using lines in literature, the proposed method needs no conic fitting of line images, which is error-prone and highly affects the calibration accuracy. It is easy to implement, and only a single view of one space line is enough with no other space information needed. Experiments on simulated and real data show this method is robust and effective.
机译:在相机校准中,焦距是要估计的最重要参数,而其他参数可以通过有关场景或系统配置的先验信息获得。在本文中,我们提出了有效焦距的多项式约束,条件是所有其他参数均已知。对于副折射摄影机,该多项式度为4,对于其他反折射摄影机,其多项式度为16。但是,如果偏斜为0或已知偏斜与有效焦距之间的比率,则对于副折射型相机和其他反射折射型相机,约束分别成为有效焦距平方上的线性1或多项式1,且度数为4。基于此约束,我们提出了一种简单的方法来估算中央折反射相机的有效焦距。与文献中使用线的许多方法不同,所提出的方法不需要线图像的圆锥拟合,这容​​易出错并且严重影响校准精度。它很容易实现,只需要一个空间线的一个视图就足够了,而无需其他空间信息。在模拟和真实数据上的实验表明,该方法是可靠且有效的。

著录项

  • 来源
    《Pattern recognition letters》 |2012年第5期|p.646-653|共8页
  • 作者单位

    College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR China;

    National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China;

    College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR China;

    National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, PR China,Laboratory of Human-Computer Interaction and Intelligent Information Processing, Institute of Software, Chinese Academy of Sciences, Beijing 100190, PR China;

    College of Information Science and Technology, Beijing Normal University, Beijing 100875, PR 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; central catadioptric camera; focal length estimation;

    机译:相机校准;中央折反射相机焦距估计;

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