| Bibliography | Käppeler, Uwe-Philipp; Höferlin, Markus; Levi, Paul: 3D Object Localization via Stereo Vision using an Omnidirectional and a Perspective Camera.
In: Proceedings of the IEEE International Conference on Robotics and Automation, Workshops and Tutorials.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 1-6, english.
Anchorage, USA: IEEE Press, May 3, 2010.
Article in Proceedings (Workshop Paper).
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| CR-Schema | I.2.9 (Robotics)
I.2.10 (Vision and Scene Understanding)
I.4.0 (Image Processing and Computer Vision General)
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| Abstract | Abstract—This paper describes our stereo vision method which is combining an omnidirectional and a perspective camera. It was developed for our robot soccer team 1. RFC Stuttgart, which attends RoboCup competitions every year. The common approach to stereovision leads to high deviations from the real positions when it is not possible to synchronize the cameras for tracking moving objects. Therefore we introduce an object localization in RoboCup combining the most accurate position information from each camera system. Our method for a reliable three-dimensional position estimation can be used to track a flying ball after being kicked by a robot.
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| Department(s) | University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding
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| Project(s) | SFB-627, C3 (University of Stuttgart, Institute of Parallel and Distributed Systems, Image Understanding)
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| Entry date | May 14, 2010 |
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