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Proceedings Paper

Using stereo matching and perceptual grouping to detect buildings in aerial images
Author(s): Tuan Dang; Henri Maitre; Olivier Jamet; Olivier Dissard
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Paper Abstract

We present an approach for the detection of building in aerial images using binocular and monocular information. A cooperative method is developed in which both stereo matching and perceptual grouping techniques are used to ensure a reliable detection of building structures in a contour map. Indeed, when one uses geometric grouping alone, one has to resolve a hard combinatorial search problem. So, we propose to use the disparity map obtained by stereo matching to filter irrelevant contours. This approach allows us to reduce the search space for the geometric grouping process, which uses the remaining contours to detect buildings according to the principle of perceptual organization. In this work, we only consider the class of buildings which can be modeled as a combination of rectangular structures. The detected buildings are then fed back to the stereo process to generate a new disparity map in which building forms are better preserved. In our stereo matching algorithm, we use a dynamic programming technique to estimate the disparity at each point before computing it using both parametric and non-parametric correlation. This strategy allows us to speed up the correlation process and reduce the risk of false matching.

Paper Details

Date Published: 30 December 1994
PDF: 12 pages
Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); doi: 10.1117/12.196781
Show Author Affiliations
Tuan Dang, Institut Geographique National (France)
Henri Maitre, Ecole Nationale Superieure des Telecommunications (France)
Olivier Jamet, Institut Geographique National (France)
Olivier Dissard, Institut Geographique National (France)

Published in SPIE Proceedings Vol. 2315:
Image and Signal Processing for Remote Sensing
Jacky Desachy, Editor(s)

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