• DocumentCode
    2462740
  • Title

    A modal framework for correspondence and description

  • Author

    Sclaroff, Stan ; Pentland, Alex

  • Author_Institution
    Media Lab., MIT, Cambridge, MA, USA
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    308
  • Lastpage
    313
  • Abstract
    The authors describe a framework for establishing correspondence, computing canonical descriptions, and recognizing objects that is based on the idea of describing objects by their generalized symmetries, as defined by the object´s free vibration modes. A technique given by A. Pentland and S. Scarloff (1991) described objects in terms of the modes of some prototype shape. In contrast, this new method computes the object´s modes directly from available image information. This results in greater generality and accuracy, and is applicable to data of any dimensionality. For the purposes of illustration, a detailed mathematical formulation of the method is given for 2-D problems, and it is demonstrated on gray-scale image and contour data
  • Keywords
    computer vision; image recognition; object recognition; 2-D problems; canonical descriptions; contour data; correspondence; description; free vibration modes; generalized symmetries; gray-scale image; mathematical formulation; modal framework; objects recognition; prototype shape; Deformable models; Frequency; Geometry; Laboratories; Machine vision; Object recognition; Prototypes; Robustness; Shape; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378200
  • Filename
    378200