• DocumentCode
    423789
  • Title

    Spatial styles capturing using genetic algorithms in sketch understanding

  • Author

    Zhang, Li-Sha ; SUN, ZHENG-XING ; Lee, Man-Wu ; Jiang, Wei

  • Author_Institution
    State Key Lab for Novel Software Technol., Nanjing Univ., China
  • Volume
    6
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3632
  • Abstract
    Many sketches convey information through the relationships between graphics, rather than the internal structure of the graphics themselves, and the spatial context of a sketch should help people to understand freehand sketches. We exploit a method of the spatial styles capturing based on genetic algorithms (GA) for sketch-based software conceptual modeling. Firstly, a structure of object relation graphs (ORG) is constructed based on the definition of the spatial styles in UML. Secondly, a computational model is employed to describe the interrelation of sketchy UML objects and capture frequently occurred spatial styles possibly with fixed semantics through genetic algorithms. Experiments have proved the proposed method both effective and efficient.
  • Keywords
    Unified Modeling Language; genetic algorithms; psychology; visual databases; UML; genetic algorithms; object relation graphs; sketch-based software conceptual modeling; spatial styles capturing; Computational modeling; Context modeling; Genetic algorithms; Graphics; Humans; Layout; Object recognition; Sun; Unified modeling language; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1380431
  • Filename
    1380431