Calibration of Visual Sensors and Actuators in Distributed Computing Platforms

  • Many novel multimedia applications such as virtual immersive environments use multiple sensors and actuators. We present in this paper a novel approach for position calibration of visual sensors and actuators, i.e. cameras and displays, in a distributed network of general purpose computing devices. The proposed approach is very suitable for the calibration of mobile setups since (a) synchronization of the setup is not required, (b) it works fully automatic, (c) only weak restrictions are imposed on the positioning of the cameras and displays, and (d) no upper limit on the number of cameras and displays to calibrated is imposed. Corresponding points across different camera images are established automatically and found with subpixel accuracy. Cameras do not have to share one common view, only a reasonable overlap between camera subgroups is necessary. The method has been sucessfully tested in numerous multicamera environments with a varying number of cameras. It has proven itself toMany novel multimedia applications such as virtual immersive environments use multiple sensors and actuators. We present in this paper a novel approach for position calibration of visual sensors and actuators, i.e. cameras and displays, in a distributed network of general purpose computing devices. The proposed approach is very suitable for the calibration of mobile setups since (a) synchronization of the setup is not required, (b) it works fully automatic, (c) only weak restrictions are imposed on the positioning of the cameras and displays, and (d) no upper limit on the number of cameras and displays to calibrated is imposed. Corresponding points across different camera images are established automatically and found with subpixel accuracy. Cameras do not have to share one common view, only a reasonable overlap between camera subgroups is necessary. The method has been sucessfully tested in numerous multicamera environments with a varying number of cameras. It has proven itself to work extremely accurate. Performance results are reported.show moreshow less

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Metadaten
Author:Eva HörsterGND, Rainer LienhartGND, Wolfgang Kellermann, Jean-Yves Bouguet
URN:urn:nbn:de:bvb:384-opus4-1261
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/175
Series (Serial Number):Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg (2005-11)
Type:Report
Language:English
Publishing Institution:Universität Augsburg
Release Date:2006/06/06
GND-Keyword:optischer Sensor; Display; Automatisches Kalibrieren
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Multimedia und Maschinelles Sehen
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik