• DocumentCode
    2314391
  • Title

    3-D object pose estimation based on iterative image matching: Shading and edge data fusion

  • Author

    Nomura, Yoshihiko ; Zhang, Dili ; Sakaida, Yuko ; Fujii, Seizo

  • Author_Institution
    Sch. of Eng., Nagoya Univ., Japan
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    513
  • Abstract
    Based on model-driven image matching, the 3-D object pose is iteratively estimated. Shading images and edge images are synthesized from an abject model, and are matched, individually, with the input images by using a nonlinear least-squares method. The fusion of the shading and the edge information is achieved choosing the better of the two pieces of image matching
  • Keywords
    edge detection; image matching; least squares approximations; object recognition; 3D object pose estimation; edge data fusion; iterative image matching; model-driven image matching; nonlinear least-squares method; shading; Cameras; Humans; Image matching; Image recognition; Image segmentation; Least squares methods; Object recognition; Optical reflection; Shape; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546079
  • Filename
    546079
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2314391