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Minimum Uncertainty Triangle Paths for Multi Camera Calibration

Authors: Ferid Bajramovic and Joachim Denzler

Published in: Dagstuhl Seminar Proceedings, Volume 8422, Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes (2009)

Abstract

Multi camera systems become increasingly important in computer vision. For many applications, however, the system has to be calibrated, i.e. the intrinsic and extrinsic parameters of the cameras have to be determined. We present a method for calibrating the extrinsic parameters without any scene knowledge or user interaction. In particular, we assume known intrinsic parameters and one image from each camera as input.

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Ferid Bajramovic and Joachim Denzler. Minimum Uncertainty Triangle Paths for Multi Camera Calibration. In Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. Dagstuhl Seminar Proceedings, Volume 8422, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@InProceedings{bajramovic_et_al:DagSemProc.08422.4,
  author =	{Bajramovic, Ferid and Denzler, Joachim},
  title =	{{Minimum Uncertainty Triangle Paths for Multi Camera Calibration}},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08422.4},
  URN =		{urn:nbn:de:0030-drops-18638},
  doi =		{10.4230/DagSemProc.08422.4},
  annote =	{Keywords: Multi camera, calibration, uncertainty}
}

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Minimum Uncertainty Triangle Paths for Multi Camera Calibration

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