• DocumentCode
    3290068
  • Title

    Recognition of partially occulted objects

  • Author

    Aoudia, Amina Ait ; Aouat, Saliha

  • Author_Institution
    Comput. Sci. Dept., Univ. of Sci. & Technol. - Houari, Boumediene, Algeria
  • fYear
    2013
  • fDate
    27-30 May 2013
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    We propose a new method to recognize partially occulted objects. The technique consists to create first, an index containing codes associated to each image of the database using the Quad-tree structure, and then we define a tolerance threshold that allows the recognition of partially occulted objects.
  • Keywords
    computer graphics; object recognition; quadtrees; partially occulted object recognition; quad-tree structure; tolerance threshold; Computer science; Data structures; Educational institutions; Image recognition; Indexes; Object recognition; Index; Occlusion; Quad-tree; Silhouette;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2013 ACS International Conference on
  • Conference_Location
    Ifrane
  • ISSN
    2161-5322
  • Type

    conf

  • DOI
    10.1109/AICCSA.2013.6616484
  • Filename
    6616484
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3290068