• DocumentCode
    3499268
  • Title

    Object extraction based on local features

  • Author

    Kosako, Akinori ; Ralescu, Anca L.

  • Author_Institution
    Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan
  • Volume
    5
  • fYear
    1995
  • fDate
    20-24 Mar 1995
  • Firstpage
    23
  • Abstract
    The eigenspace method for object extraction is extended as follows: local object features and location constraints between these are modeled under different angles of rotation. The resulting method can accurately extract the modeled object region in the image under varying viewing angles and/or when occlusions are present
  • Keywords
    computational geometry; feature extraction; image segmentation; object detection; local object features; location constraints; object extraction; object region extraction; occlusions; varying viewing angles; Computer vision; Concrete; Data mining; Floors; Fuzzy reasoning; Image recognition; Laboratories; Parametric statistics; Stability; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
  • Conference_Location
    Yokohama
  • Print_ISBN
    0-7803-2461-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1995.410024
  • Filename
    410024