• DocumentCode
    3207800
  • Title

    Extraction and integration of window in a 3D building model from ground view images

  • Author

    Lee, Sung Chun ; Nevatia, Ram

  • Author_Institution
    Inst. for Robotics & Intelligent Syst., Southern California Univ., Los Angeles, CA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    Details of the building facades are needed for high quality fly-through visualization or simulation applications. Windows form a key structure in the detailed facade reconstruction. In this paper, given calibrated facade texture (i.e. the rectified texture), we extract and reconstruct the 3D window structure of the building. We automatically extract windows (rectangles in the rectified image) using a profile projection method, which exploits the regularity of the vertical and horizontal window placement. We classify the extracted windows using 2D dimensions and image texture information. The depth of the extracted windows is automatically computed using window classification information and image line features. A single ground view image is enough to compute 3D depths of the facade windows in our approach.
  • Keywords
    computer vision; feature extraction; image reconstruction; image texture; 3D building model; building facades; fly-through visualization; ground view images; image extraction; image texture information; profile projection method; Buildings; Cameras; Computer vision; Data mining; Focusing; Image reconstruction; Intelligent robots; Solid modeling; Visualization; Windows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315152
  • Filename
    1315152