• DocumentCode
    2594097
  • Title

    Curved inertia frames and the skeleton sketch: Finding salient frames of reference

  • Author

    Subirana-Vilanova, J.B.

  • Author_Institution
    Artificial Intelligence Lab., MIT, Cambridge, MA
  • fYear
    1990
  • fDate
    4-7 Dec 1990
  • Firstpage
    702
  • Lastpage
    708
  • Abstract
    The author introduces curved inertia frames (CIFs), a new definition of curved axes of inertia. A scheme is given for finding a frame of reference of a shape in an image based on such a definition and the author discusses how the frame can be used to describe the shape. The scheme assigns a saliency measure to each component of the reference frame that is a measure of its relevance, so that large and central parts play a more central role in the description of the shape. The scheme also computes a major axis that is used to organize the description of the shape, so that a canonical description can be obtained. One of the features of the scheme is its tolerance to noisy and spurious data. Several perceptual phenomena observed in humans such as grouping based on symmetry and environment bias in shape description can be reproduced naturally in this scheme
  • Keywords
    computational geometry; computer vision; computerised pattern recognition; visual perception; canonical description; computer vision; curved axes of inertia; curved inertia frames; environment bias; grouping based on symmetry; perceptual phenomena; saliency measure; salient frames of reference; shape description; skeleton sketch; Artificial intelligence; Computer vision; Filters; Humans; Image coding; Laboratories; Noise shaping; Shape measurement; Skeleton; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1990. Proceedings, Third International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-8186-2057-9
  • Type

    conf

  • DOI
    10.1109/ICCV.1990.139622
  • Filename
    139622