• DocumentCode
    2249828
  • Title

    Identifying attachment areas on sketched symbols

  • Author

    Costagliola, Gennaro ; De Rosa, Mattia ; Fuccella, Vittorio

  • Author_Institution
    Dept. of Inf., Univ. of Salerno, Fisciano, Italy
  • fYear
    2011
  • fDate
    18-22 Sept. 2011
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    In the field of syntactic recognition of hand-drawn visual languages, the recognition of the relations among graphical symbols is one of the first important tasks to be accomplished and is usually reduced to recognize the attachment areas of each symbol and the relations among them. In this paper we present an approach for identifying attachment areas on sketched symbols. The approach is independent from the method used to recognize symbols and assumes that the symbol has already been recognized. The approach is evaluated through a user study aimed at comparing the attachment areas detected by the system to those devised by the users. The results show that the system can identify attachment areas with a reasonable accuracy.
  • Keywords
    computer graphics; visual languages; attachment area; graphical symbol; hand-drawn visual language; sketched symbol; syntactic recognition; Area measurement; Context; Ink; Particle measurements; Shape; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Languages and Human-Centric Computing (VL/HCC), 2011 IEEE Symposium on
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1943-6092
  • Print_ISBN
    978-1-4577-1246-3
  • Type

    conf

  • DOI
    10.1109/VLHCC.2011.6070383
  • Filename
    6070383