• DocumentCode
    2305231
  • Title

    3D object recognition by geometric hashing

  • Author

    Eskizara, Ömer ; Akagündüz, Erdem ; Ulusoy, Ilkay

  • Author_Institution
    Elektr. ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
  • fYear
    2009
  • fDate
    9-11 April 2009
  • Firstpage
    932
  • Lastpage
    935
  • Abstract
    Using transform invariant 3D features obtained from a database of 3D range images, geometric hashing is applied for the purpose of 3D object recognition. Mean (H) and Gaussian (K) curvature values within a scale-space of the surface is used. Since H and K values are used and a scale-space of the surface is constructed the method is independent of transformation and resolution. The method is tested on the Stuttgart 3D range image database.
  • Keywords
    computational geometry; file organisation; object recognition; transforms; 3D object recognition; 3D range image database; geometric hashing; invariant 3D feature transform; mean-Gaussian-curvature value; Decision support systems; Object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2009. SIU 2009. IEEE 17th
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-4435-9
  • Electronic_ISBN
    978-1-4244-4436-6
  • Type

    conf

  • DOI
    10.1109/SIU.2009.5136550
  • Filename
    5136550
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2305231