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
Link To Document