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

Authors:
Sung Chun Lee;Ram Nevatia
Affiliations:
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, California;Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, California
Venue:
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Year:
2004

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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.