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Proceedings Paper

Automatic reconstruction of buildings from aerial imagery
Author(s): Saravajit Sahay Sinha
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Paper Abstract

This paper describes an algorithm which automatically creates an accurate and realistic reconstruction of buildings from high resolution, large-format digitized aerial stereo photographs. The system makes use of both reflectance and disparity data. Given a stereo pair of reflectance images of a scene containing buildings, the program automatically builds up a wireframe description of buildings and outputs a modified elevation map for the scene in which building edges are reconstructed accurately. A wide spectrum of computer vision techniques have been employed in this system- a fast stereo correlation technique; a robust, discontinuity preserving surface approximation algorithm to patch in uncorrelated areas; and knowledge based vision techniques to segment buildings from background and then reconstruct the building. A geometric model, in the form of a wing-edged data structure, is used to keep the wireframe while building up the structure. We also employ texture mapping to overlay the reflectance image back on the elevation data in order to provide a realistic display.

Paper Details

Date Published: 1 March 1991
PDF: 12 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45510
Show Author Affiliations
Saravajit Sahay Sinha, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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