A Two-stage Robust Statistical Method for Temporal Registration from Features of Various Type

Gilles Simon 1 Marie-Odile Berger
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 model registration system capable of tracking an object, the model of which is known, in an image sequence is presented. It integrates tracking, pose determination and updating of the visible features. The heart of our system is the pose computation method, which handles various features (points, lines and free-form curves) in a very robust way and is able to give a correct estimate of the pose even when tracking errors occur. The reliability of the system is shown on an augmented reality project.
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Communication dans un congrès
Proceedings of 6th International Conference on Computer Vision, 1998, Bombay, India, pp.261-266, 1998
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Soumis le : jeudi 19 octobre 2006 - 09:11:20
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48
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Gilles Simon, Marie-Odile Berger. A Two-stage Robust Statistical Method for Temporal Registration from Features of Various Type. Proceedings of 6th International Conference on Computer Vision, 1998, Bombay, India, pp.261-266, 1998. 〈inria-00107834〉

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