MOBIL: A Moments based Local Binary Descriptor

被引:0
|
作者
Bellarbi, Abdelkadar [1 ,2 ]
Otamane, Samir [2 ]
Zenati, Nadia [1 ]
Benbelkacem, Samir [1 ]
机构
[1] CDTA, Algiers, Algeria
[2] Univ Evry, IBISC EA, F-4526 Evry, France
关键词
1.4.8 [Image Processing and Computer Vision]: Scene Analysis; H.5.1 [Information Interfaces and presentation]: Multimedia Information Systems; Artificial; augmented; and virtual realities; Computer vision; local binary descriptors; moments; Augmented reality;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 subregions 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.
引用
收藏
页码:251 / +
页数:2
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