• DocumentCode
    2477893
  • Title

    View invariant object recognition

  • Author

    Srestasathiern, Panu ; Yilmaz, Alper

  • Author_Institution
    Photogrammetric Comput. Vision Lab., Ohio State Univ., Columbus, OH, USA
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper introduces a method for the recognition planar objects under projective geometry. Our method is based on a similarity measure invariant to projective transform. The proposed similarity measure utilizes the distribution of the projective relations between the conic section pairs, which are estimated from the object¿s shape. We conjecture that given two objects of the same type, which are viewed from different viewpoints generate similar histograms, such that their difference is smaller than the histograms generated from other object types. The proposed measure has shown promising performance on the Brown shape database.
  • Keywords
    computational geometry; object recognition; shape recognition; statistical analysis; transforms; conic section pair; histogram; object shape estimation; projective geometry; projective relation distribution; projective transform; similarity measure; view invariant planar object recognition; Application software; Computer vision; Equations; Geometry; Histograms; Image databases; Layout; Object recognition; Shape measurement; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761238
  • Filename
    4761238