• DocumentCode
    2710077
  • Title

    Quantitative analysis of architectural landscape vision based on 3D urban model

  • Author

    Yin, Changlin ; Zhan, Qingming ; Xu, Wenqiang ; Zhang, Honghui

  • Author_Institution
    Sch. of Urban Design, Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Visual analysis of architectural landscape plays an important role in the urban construction process. This paper using virtual reality technology, constructed the 3d scene of urban architectures. And the simulation system provides the intuitive, convenient analysis tools and methods for visual analysis. Some vision quantitative issues about geometry space and color space of architectural landscape were elaborated. Based on the study of some factors and basis of quantitative analysis, some visual analysis models were established for visual evaluation of architectural landscape. The analysis models were integrated into the simulation software system, so as to realize the 3d visualization of visual quantitative analysis. Considering the influence of planning control factors, at the end this paper put forward a comprehensive evaluation method of architectural landscape visual analysis.
  • Keywords
    architecture; data visualisation; solid modelling; town and country planning; virtual reality; 3D urban model; 3D visualization; architectural landscape vision; architectural landscape visual analysis; color space; geometry space; planning control factors; simulation software system; urban architecture; urban construction process; virtual reality technology; vision quantitative issue; visual quantitative analysis; Buildings; Cities and towns; Color; Solid modeling; Three dimensional displays; Urban planning; Visualization; 3D urban model; quantitative analysis; vision of architectural landscape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980916
  • Filename
    5980916