DocumentCode
2079720
Title
Semi-automatic modelling of urban buildings from high resolution aerial imagery
Author
Vandekerckhove, J. ; Frère, D. ; Moons, T. ; Van Gool, L.
Author_Institution
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
fYear
1998
fDate
22-26 Jun 1998
Firstpage
588
Lastpage
596
Abstract
A method is presented to (semi-)automatically generate 3D models of urban buildings from aerial images. The process starts by selecting (with a mouse click) one or more roofs in the image(s). The program then automatically delineates the roof structures in the images and extracts straight line segments which are matched across different views and reconstructed in 3D. These 3D line segments are then grouped into coplanar sets and combined into polygonal shapes. Each polygon hypothesis is verified with respect to the 3D reconstruction and the original image data; and, if necessary, corrected accordingly. Subsequently, the polygons are combined into a polyhedral roof model. The emphasis here is on extracting the correct topology of the roof structure. Metric accuracy is obtained by back-projecting the model into the images and minimizing the total reprojection error. Finally, the building model is completed by adding vertical walls to the reconstructed roof. The approach is tested on a state-of-the-art dataset of aerial images of residential areas in Brussels
Keywords
image reconstruction; solid modelling; town and country planning; Brussels; back-projection; coplanar sets; high resolution aerial imagery; polygon hypothesis; polyhedral roof model; residential areas; roof structures; semi-automatic modelling; straight line segments; total reprojection error; urban buildings; Buildings; Cities and towns; Image reconstruction; Image resolution; Image segmentation; Mice; Moon; Postal services; Read only memory; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics International, 1998. Proceedings
Conference_Location
Hannover
Print_ISBN
0-8186-8445-3
Type
conf
DOI
10.1109/CGI.1998.694317
Filename
694317
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