• DocumentCode
    2786480
  • Title

    Object matching on irregular pyramid

  • Author

    Pailloncy, Jean-Gerard ; Kropatsch, Walter ; Jolion, Jean-Michel

  • Author_Institution
    RFV, Inst. Nat. des Sci. Appliquees, Villeurbanne, France
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1721
  • Abstract
    The matching of an object, a region of an image segmentation, to a template is a heavy computation process and is not very robust. We represent an object by a region adjacency graph (RAG) on the top of which a pyramid (a decreasing sequence of RAG) is built according to a set of rules, which verify some uniqueness and uniformity properties. The contraction process preserves the structure of the RAG across the pyramid´s levels, and the rules are chosen according to the characteristics of the template. By building such a pyramid and then by a top-down process to match all the sub-graphs we have a linear parallel complexity time, with a robust match and a partial match relative to the given set of rules
  • Keywords
    computational complexity; graph theory; image matching; image segmentation; object recognition; complexity time; graph isomorphism; image segmentation; irregular pyramid; object recognition; pyramid levels; region adjacency graph; template matching; top-down process; uniformity; uniqueness; Buildings; Computer vision; Data structures; Image processing; Image segmentation; Kernel; Pattern matching; Pattern recognition; Reconnaissance; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.712056
  • Filename
    712056