• DocumentCode
    2334698
  • Title

    Data model for procedural modelling from textual descriptions

  • Author

    Rodrigues, Roberto ; Coelho, Antonio ; Reis, Luis Paulo

  • Author_Institution
    DEI, FEUP, Porto, Portugal
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The generation of three-dimensional models of urban environments using procedural modelling is presented as being a solution that allows financial and temporal gains, maintaining an acceptable visual fidelity level. Nevertheless, the modelling of anchor buildings (or monumental), identifying certain urban areas, needs a more careful modelling, due to the elevated level of detail necessary, using, generally, manual modelling. This paper proposes a data model to be used on an architecture for high level modelling of monumental buildings, through the introduction of additional knowledge from textual information. The firsts results shows that the data model is flexible enough to build distinct models of churches and other buildings. This data model also provides a high level three-dimensional model that can be used by other procedural modelling solutions to create detailed monumental buildings. The results also demonstrate that it is possible to use simple text to create a rudimentary 3D model, showing the way to further investigation, allowing non-specialized users to increase effectiveness using a procedural modelling system.
  • Keywords
    data models; solid modelling; anchor buildings; architecture; data model; generation; high level modelling; monumental buildings; procedural modelling; textual descriptions; textual information; three-dimensional models; urban environments; visual fidelity; Buildings; Computational modeling; Data models; Poles and towers; Solid modeling; Three dimensional displays; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586550
  • Filename
    5586550