• DocumentCode
    456989
  • Title

    Active Feature Models

  • Author

    Langs, Georg ; Peloschek, Philipp ; Donner, René ; Reiter, Michael ; Bischof, Horst

  • Author_Institution
    Inst. for Comput. Graphics & Vision, Graz Univ. of Technol.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    417
  • Lastpage
    420
  • Abstract
    In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are related to active appearance models, but instead of modelling the entire texture of an object they represent image texture by means of local descriptors. The approach has advantages with complex image data like anatomical structures that exhibit high texture variation with limited relevance for the recognition of the object location. Experimental results and the comparison to AAMs on different data sets indicate that active feature models can improve search speed and result accuracy, considerably
  • Keywords
    feature extraction; image representation; image texture; statistical analysis; active appearance models; active feature models; anatomical structures; image landmark localization; image texture representation; local descriptors; object texture; statistical shape model; texture features; Active appearance model; Biomedical imaging; Computer graphics; Image edge detection; Image processing; Image texture; Image texture analysis; Pattern recognition; Radiology; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.207
  • Filename
    1698921