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Conference papers

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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Conference papers
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https://hal.inria.fr/inria-00107834
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Submitted on : Thursday, October 19, 2006 - 9:11:20 AM
Last modification on : Friday, February 4, 2022 - 3:22:12 AM
Long-term archiving on: : Wednesday, March 29, 2017 - 1:02:51 PM

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  • HAL Id : inria-00107834, version 1

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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. ⟨inria-00107834⟩

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