@inproceedings{7837dae5e39649a9aee0669d98c7a63d,
title = "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.",
author = "Madjid Maidi and Marius Preda and Le, \{Van Hung\}",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/ICSIPA.2011.6144077",
language = "English",
isbn = "9781457702419",
series = "2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011",
pages = "301--306",
booktitle = "2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011",
note = "2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 ; Conference date: 16-11-2011 Through 18-11-2011",
}