• 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