• DocumentCode
    2196935
  • Title

    a.SCAtch - A Sketch-Based Retrieval for Architectural Floor Plans

  • Author

    Weber, Markus ; Liwicki, Marcus ; Dengel, Andreas

  • Author_Institution
    Knowledge Manage. Dept., German Res. Center for AI (DFKI GmbH), Kaiserslautern, Germany
  • fYear
    2010
  • fDate
    16-18 Nov. 2010
  • Firstpage
    289
  • Lastpage
    294
  • Abstract
    Architects´ daily routine means working with drawings. They use either a pen or a computer sketching their ideas or drawing to scale. When beginning a new project they often have to search for similar projects in the past. In this paper a sketch-based approach is proposed to query the floor plan repository. The user searches for semantically similar floor plans just by drawing the new plan. An algorithm extracts the semantic structure sketched by the architect on DFKI´s Touch & Write table and compares the structure of the sketch with the ones from the floor plan repository. The a SCatch system enables the user to easily access knowledge from past projects. While in the current prototype only sketches with a predefined structure are recognized, we will extend the system to work with normal floor plans.
  • Keywords
    architecture; content-based retrieval; floors; image retrieval; a.SCatch system; architectural floor plan repository; computer sketching; sketch-based retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2010 International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4244-8353-2
  • Type

    conf

  • DOI
    10.1109/ICFHR.2010.122
  • Filename
    5693538