License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08422.4
URN: urn:nbn:de:0030-drops-18638
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/1863/
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Bajramovic, Ferid ;
Denzler, Joachim
Minimum Uncertainty Triangle Paths for Multi Camera Calibration
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: |
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Multi camera, calibration, uncertainty |
Collection: |
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08422 - Klausurtagung Lehrstuhl Joachim Denzler |
Issue Date: |
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2009 |
Date of publication: |
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29.01.2009 |