• DocumentCode
    2174098
  • Title

    Graphics and the Understanding of Perceptual Mechanisms: Analogies and Similarities

  • Author

    Hess, Lilia ; Mayoh, Brian

  • Author_Institution
    Instituto Militar de Engenharia, Rio de Janeiro
  • fYear
    1993
  • fDate
    16-18 Aug. 1993
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    Graphics give an alternative representation model for images and graphic rewriting gives another viewpoint for image matching, image retrieval and identity of shape constancy - all subjects that have raised passionate discussion of mathematical models for both machine and human vision. Attributed graph grammars are a powerful way of describing transformations of complex structures. Attributed graph grammars have been applied to describe visual languages, distributed systems, chemical reactions, music analysis and much else. Graphics combine the geometry of human vision with the geometry of visual space. Graphic vertices model basic percept elements, graphic edges model percept and neighbour relations, attribute Sigma-algebras formalise space locations on space and transformations, while graphic grammars give rules that express perceived shapes. Graphics production can capture similarities of shapes, as a restriction of the graphic analogy reasoning on visual space. Composition of shapes by specific operations causes gradual distortions
  • Keywords
    attribute grammars; computational geometry; computer graphics; computer vision; graph grammars; attributed graph grammar; computational geometry; computer graphics; graphic edges model; graphic vertices model; machine vision; Chemical analysis; Geometry; Graphics; Humans; Image matching; Image retrieval; Mathematical model; Music information retrieval; Power system modeling; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Imaging--New Trends, 2006
  • Conference_Location
    London, England
  • Print_ISBN
    0-7695-2604-7
  • Type

    conf

  • DOI
    10.1109/GMAI.2006.26
  • Filename
    1648752