• DocumentCode
    2637382
  • Title

    SiteCity: a semi-automated site modelling system

  • Author

    Hsieh, Yuan

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    499
  • Lastpage
    506
  • Abstract
    This paper presents SiteCity, a semi-automated building extraction system integrating photogrammetry, geometric constraints and image understanding algorithms. Existing automated building extraction systems produce mixed results and it is clear that human intervention is required to correct mistakes from fully automated systems. SiteCity gives human operators the ability to construct and manipulate three dimensional building objects using multiple images. Image understanding algorithms are integrated into SiteCity to assist users. The automated processes in SiteCity use user-delineated roof boundaries as cues, and attempt to locate the floor of a building and match the building object in other images. In addition, photogrammetric cues are used to assist automated processes. These automated processes are described and their performance is evaluated, illustrating that automated processes in SiteCity produce comparable performance to that of human subjects
  • Keywords
    computer vision; feature extraction; photogrammetry; SiteCity; building extraction system; cues; geometric constraints; image understanding algorithms; multiple images; photogrammetric cues; photogrammetry; semi-automated site modelling system; user-delineated roof boundaries; Area measurement; Buildings; Computer science; Computer vision; Current measurement; Feature extraction; Floors; Humans; Laboratories; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517118
  • Filename
    517118