inria-00351874, version 1
Hybrid tracking approach using optical flow and pose estimation
Muriel Pressigout 1Eric Marchand a, 2Etienne Memin
b, 3
IEEE Int. Conf. on Image Processing, ICIP'08 (2008)
Résumé : This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-based pose estimation computation has proven to highly increase the reliability of the tracker. We propose in this work to exploit the data provided by an optical flow algorithm for a similar purpose. The advantage of using the optical flow is that it does not require any a priori knowledge on the object appearance. The registration of 2D and 3D cues for monocular tracking is performed by a non linear minimization. Results obtained show that using optical flow enables to perform robust 3D hybrid tracking even without any texture model
- a – INRIA
- b – Université de Rennes 1
- 1 : Institut d'Electronique et de Télécommunications de Rennes (IETR)
- CNRS : UMR6164 – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA) - Rennes – SUPELEC
- 2 : LAGADIC (INRIA - IRISA)
- CNRS : UMR6074 – INRIA – Université de Rennes 1
- 3 : VISTA (INRIA - IRISA)
- CNRS : UMR6074 – INRIA – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA)
- Domaine : Informatique/Robotique
- inria-00351874, version 1
- http://hal.inria.fr/inria-00351874
- oai:hal.inria.fr:inria-00351874
- Contributeur : Eric Marchand
- Déposé pour le compte de :
- Soumis le : Lundi 12 Janvier 2009, 10:10:53
- Dernière modification le : Mercredi 10 Octobre 2012, 12:51:56
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