• DocumentCode
    407096
  • Title

    Translation, scale and rotation invariant object recognition

  • Author

    Gruzman, I.S. ; Nikitin, V.G.

  • Author_Institution
    Novosibirsk State Tech. Univ., Russia
  • fYear
    2003
  • fDate
    23-26 Dec. 2003
  • Firstpage
    132
  • Lastpage
    137
  • Abstract
    Over the last years the problem of pattern recognition under various geometrical transformations is very important. In the case of affection scale and rotation transforms, well-known correlation-extreme algorithms are not efficient. The invariant object recognition methods of translation, scale and rotation are suggested. Root-mean-square method is more computationally expensive, but it provides good recognition when alien objects have different shape with object size error up to 25%.
  • Keywords
    correlation methods; least mean squares methods; object recognition; affection scale; correlation-extreme algorithms; geometrical transformations; invariant object recognition; pattern recognition; root-mean-square method; rotation transforms; Associate members; Decision making; Image segmentation; Object recognition; Parameter estimation; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Electronics: Measurements, Identification, Applications, 2003. MEMIA 2003. Proceedings of the 4th IEEE-Russia Conference
  • Print_ISBN
    5-7782-0439-6
  • Type

    conf

  • DOI
    10.1109/MEMIA.2003.1282221
  • Filename
    1282221