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Minimum Uncertainty Triangle Paths for Multi Camera Calibration
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Dagstuhl Seminar Proceedings, Volume 8422
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2009-01-29
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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
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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- Multi camera
- calibration
- uncertainty
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