DocumentCode :
1998742
Title :
An improved MOBIL descriptor for markerless augmented reality
Author :
Bellarbi, Abdelkader ; Zenati-Henda, Nadia ; Belghit, Hayet ; Hamidia, Mahfoud ; Benbelkacem, Samir ; Otmane, Samir
Author_Institution :
CDTA, Algiers, Algeria
fYear :
2015
fDate :
25-27 May 2015
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, we present an improved version of MOBIL descriptor [1] (Improved MOments based BInary differences for Local description), which introduces two main contributions. The first one is the use of geometric information for the binary test instead of the classical intensity binary test, to get more precision in the description step. The second one is to attribute two bits for each test, to increase the distinctiveness level. 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.
Keywords :
augmented reality; computational complexity; binary test; computation complexity; geometric information; improved MOBIL descriptor; improved moments based binary differences for local description; markerless augmented reality; recognition rate; Augmented reality; Computer vision; Conferences; Feature extraction; Image recognition; Pattern recognition; Robustness; Augmented reality; Computer vision; Local binary descriptors; moments;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location :
Tlemcen
Type :
conf
DOI :
10.1109/CEIT.2015.7233052
Filename :
7233052
Link To Document :
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