• DocumentCode
    2786255
  • Title

    Conservation-minded evolution of shape

  • Author

    Kimia, Benjamin R. ; Tannenbaum, Allen ; Zucker, Steven W.

  • Author_Institution
    McGill Res. Center for Intelligent Machines, Montreal, Que., Canada
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    185
  • Abstract
    Most natural and artificial systems rely heavily on vision to recognize, manipulate, and navigate within a world of objects. Although shape is a key element in this process, its representation and analysis have proved to be a difficult, multifaceted problem. A framework, based on conservation laws, which gives rise to computational elements for shape parts, protrusions, and bends, is proposed. The computation takes place in the context of a reaction-diffusion space and is highly robust. This scheme is ideally suited to object recognition and has applications in areas ranging from robotics to the psychology and the physiology of form
  • Keywords
    computational geometry; computer vision; conservation laws; pattern recognition; physiological models; psychology; robots; bends; computational elements; conservation laws; object recognition; physiology of form; protrusions; psychology; reaction-diffusion space; robotics; robustness; shape evolution; shape parts; vision; Artificial intelligence; Machine intelligence; Navigation; Nonlinear equations; Orbital robotics; Physics; Physiology; Psychology; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128457
  • Filename
    128457