The Community for Technology Leaders
2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2014)
Munich, Germany
Sept. 10, 2014 to Sept. 12, 2014
ISBN: 978-1-4799-6184-9
pp: 251-252
Abdelkader Bellarbi , Centre de Développement des Technologies Avancées, CDTA, Algiers, Algeria
Samir Otmane , IBISC EA 4526- University of Evry, France
Nadia Zenati , Centre de Développement des Technologies Avancées, CDTA, Algiers, Algeria
Samir Benbelkacem , Centre de Développement des Technologies Avancées, CDTA, Algiers, Algeria
ABSTRACT
In this paper, we propose an efficient, and fast binary descriptor, called MOBIL (MOments based BInary differences for Local description), which compares not just the intensity, but also sub-regions geometric proprieties by employing moments. This approach offers high distinctiveness against affine transformations and appearance changes. The experimental evaluation shows that MOBIL achieves a quite good performance in term of low computation complexity and high recognition rate compared to state-of-the-art real-time local descriptors.
INDEX TERMS
Computer vision, Robustness, Image recognition, Augmented reality, Computers, Approximation algorithms, Algorithm design and analysis
CITATION

A. Bellarbi, S. Otmane, N. Zenati and S. Benbelkacem, "[Poster] MOBIL: A moments based local binary descriptor," 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Munich, Germany, 2014, pp. 251-252.
doi:10.1109/ISMAR.2014.6948435
84 ms
(Ver 3.3 (11022016))