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首页> 外文会议>2007 IEEE International Conference on Computer-Aided Degign and Computer Graphics >A Plane-based Calibration for Multi-camera Systems
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A Plane-based Calibration for Multi-camera Systems

机译：基于平面的多相机系统校准

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摘要

In this paper,a plane-based calibration algorithm with use for calibrating large complexes of linear projective cameras of varying intrinsic and extrinsic parameters is proposed. A planar pattern with known reference points placed at a few different locations is only required as a calibration object. All the cameras do not have to see this planar pattern at all locations simultaneously,and only reasonable overlap between them is necessary. We divide these cameras into groups according to their positions and orientations,to make sure cameras in each group have a common field of view,and estimate the intrinsic parameters of each camera via a plane-based technique. Common views of planes are used to represent each camera in the world coordinate system of its own group and determine the relationships between these world coordinate systems. Rodrigues formula is adopted to deal with the inconsistency when recovering the rigid displacements between cameras. At last,all these cameras can be completely calibrated in a uniform world coordinate system robustly and accurately.
机译：本文提出了一种基于平面的标定算法，该标定算法用于标定变化的内在和外在参数的线性投影相机的大型配合物。仅需要将已知参考点放置在几个不同位置的平面图案作为校准对象。所有摄像机不必同时在所有位置看到此平面图案，并且它们之间仅需要合理的重叠即可。我们根据这些摄像机的位置和方向将其分为几组，以确保每组摄像机具有相同的视野，并通过基于平面的技术估算每台摄像机的固有参数。平面的公共视图用于表示其所属组的世界坐标系中的每个摄影机，并确定这些世界坐标系之间的关系。当恢复摄像机之间的刚性位移时，采用Rodrigues公式来解决不一致问题。最后，所有这些摄像机都可以在统一的世界坐标系中可靠，准确地进行完全校准。

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  • 来源
  • 会议地点 Beijing(CN)
  • 作者

    Jiyou Jia;

  • 作者单位

    Liuxin ZHANG@School of Computer Science and Technology Beijing Institute of Technology,Beijing 100081,PR CHINA--Bin LI@School of Computer Science and Technology Beijing Institute of Technology,Beijing 100081,PR CHINA--Yunde JIA@School of Computer Science and Technology Beijing Institute of Technology,Beijing 100081,PR CHINA--;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP391.42;
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