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URN: urn:nbn:de:0030-drops-18638
URL: http://drops.dagstuhl.de/opus/volltexte/2009/1863/
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Bajramovic, Ferid ; Denzler, Joachim

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:DSP:2009:1863,
  author =	{Ferid Bajramovic and Joachim Denzler},
  title =	{Minimum Uncertainty Triangle Paths for Multi Camera Calibration},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  year =	{2009},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/1863},
  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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