Minimum Uncertainty Triangle Paths for Multi Camera Calibration

Bajramovic, Ferid; Denzler, Joachim

doi:10.4230/DagSemProc.08422.4

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Minimum Uncertainty Triangle Paths for Multi Camera Calibration

Authors Ferid Bajramovic, Joachim Denzler

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 8422
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2009-01-29

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DOI: 10.4230/DagSemProc.08422.4
URN: urn:nbn:de:0030-drops-18638

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Keywords

Multi camera
calibration
uncertainty

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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.

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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) https://doi.org/10.4230/DagSemProc.08422.4

Author Details

Ferid Bajramovic

Joachim Denzler

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