Handling uncertain sensor data in vision-based camera tracking

Michael Aron 1 Gilles Simon 1 Marie-Odile Berger 1
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A hybrid approach for real-time markerless tracking is presented. Robust and accurate tracking is obtained from the coupling of camera and inertial sensor data. Unlike previous approaches, we use sensor information only when the image-based system fails to track the camera. In addition, sensor errors are measured and taken into account at each step of our algorithm. Finally, we address the camera/sensor synchronization problem and propose a method to resynchronize these two devices online. We demonstrate our method in two example sequences that illustrate the behavior and benefits of the new tracking method.
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Communication dans un congrès
Third International Symposium on Mixed and Augmented Reality - ISMAR'04, 2004, Arlington, USA, IEEE and ACM, pp.58--67, 2004
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Dernière modification le : jeudi 11 janvier 2018 - 06:19:48
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  • HAL Id : inria-00100279, version 1

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Michael Aron, Gilles Simon, Marie-Odile Berger. Handling uncertain sensor data in vision-based camera tracking. Third International Symposium on Mixed and Augmented Reality - ISMAR'04, 2004, Arlington, USA, IEEE and ACM, pp.58--67, 2004. 〈inria-00100279〉

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