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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
Extraction and Integration of Window in a 3D Building Model from Ground View Images
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
Sung Chun Lee, University of Southern California
Ram Nevatia, University of Southern California
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.
Citation:
Sung Chun Lee, Ram Nevatia, "Extraction and Integration of Window in a 3D Building Model from Ground View Images," cvpr, vol. 2, pp.113-120, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
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