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
Document type :
Conference papers
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Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Tuesday, September 4, 2012 - 10:56:59 AM
Last modification on : Friday, January 24, 2020 - 1:22:44 AM



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. pp.301-306, ⟨10.1109/ICSIPA.2011.6144077⟩. ⟨hal-00727688⟩



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