Markerless tracking for mobile augmented reality

Abstract : This work aims to realize a recognition system for markerless tracking in mobile augmented reality. A method based local invariant descriptors is implemented to extract image feature points for natural fiducial identification. This technique is optimized and adapted for a mobile architecture with low resources and deployed on a portable device. Afterwards, a hybrid approach of camera pose estimation is proposed to augment real images with virtual graphics. Experiments and many evaluations are conducted to demonstrate the relevance of the proposed approach. This study enabled to overcome some identification issues for markerless tracking in mobile augmented reality environments.
Keywords : Augmented Reality
Type de document :
Communication dans un congrès
ICSIPA '11 : International Conference on Signal and Image Processing Applications, Nov 2011, Kuala Lumpur, Malaysia. IEEE, pp.301-306, 2011, <10.1109/ICSIPA.2011.6144077>
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00727688
Contributeur : Médiathèque Télécom Sudparis & Télécom Ecole de Management <>
Soumis le : mardi 4 septembre 2012 - 10:56:59
Dernière modification le : jeudi 9 février 2017 - 15:22:47

Identifiants

Citation

Madjid Maidi, Marius Preda, Van Hung Le. Markerless tracking for mobile augmented reality. ICSIPA '11 : International Conference on Signal and Image Processing Applications, Nov 2011, Kuala Lumpur, Malaysia. IEEE, pp.301-306, 2011, <10.1109/ICSIPA.2011.6144077>. <hal-00727688>

Partager

Métriques

Consultations de la notice

57