• DocumentCode
    1562817
  • Title

    3D object recognition with image gradient

  • Author

    Dong, Xu ; Wenli, Xu

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    5
  • fYear
    2004
  • Firstpage
    4186
  • Abstract
    The angle between image gradient and the major principal axis of silhouette is proposed to describe 3D object, and the invariance of this description to the density, the orientation of light and the reflection of surface is also deduced in this paper. Using the moment invariants of this description can introduce more 3D information of object and bring higher recognition ratios than using the 2D moment invariant of object silhouettes.
  • Keywords
    gradient methods; image recognition; invariance; object recognition; 2D moment invariant; 3D object information; 3D object recognition; image gradient method; invariance; object silhouette principal axis; Automation; Costs; Object recognition; Reflection; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1342297
  • Filename
    1342297
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1562817