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URN: urn:nbn:de:0030-drops-18638
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Minimum Uncertainty Triangle Paths for Multi Camera Calibration

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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.



BibTeX - Entry

@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/opus/volltexte/2009/1863},
  URN =		{urn:nbn:de:0030-drops-18638},
  doi =		{10.4230/DagSemProc.08422.4},
  annote =	{Keywords: Multi camera, calibration, uncertainty}
}

Keywords: Multi camera, calibration, uncertainty
Seminar: 08422 - Klausurtagung Lehrstuhl Joachim Denzler
Issue date: 2009
Date of publication: 29.01.2009


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