DagSemProc.08422.5.pdf
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Active Self Calibration of a Multi Sensor System
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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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Marcel Brückner and Joachim Denzler. Active Self Calibration of a Multi Sensor System. 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.08422.5
https://doi.org/10.4230/DagSemProc.08422.5
Abstract
The combination of a multi camera system with different sensor types like PMD cameras or motion sensors is called multi sensor system.
Such systems offer many different application scenarios, e.g. motion studies of animals and sportsmen, 3D reconstruction or object tracking tasks. In order to work properly, each of this applications needs an accurately calibrated multi sensor system. Calibration consists of estimating the intrinsic parameters of each camera and determining the relative poses (rotation and translation) between the sensors. The second step is known as extrinsic calibration and forms the focus of this work. Self-calibration of a multi sensor system is desirable since a manual calibration is a time consuming and difficult task.
Keywords
- Relative pose
- extrinsic calibration
- multi sensor system
- common field of view
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