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Proceedings Paper

Applying perceptual grouping and surface models to the detection and stereo reconstruction of buildings in aerial imagery
Author(s): Tuan Dang; Olivier Jamet; Henri Maitre
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Paper Abstract

In this paper, we present an approach for the detection and stereo reconstruction of buildings in aerial images using perceptual organization and surface models. First, planar models of surface are used in conjunction with radiometric information to correct a noisy and sparse disparity map obtained from an area based stereo matching. The resulting disparity map is then used by a fusion process to filter useless edges. The remaining edges are processed by a geometric grouping algorithm, which is based on perceptual organization, to detect buildings which can be modeled as a combination of rectangular structures. Finally, a new disparity map is computed for the detected buildings.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182788
Show Author Affiliations
Tuan Dang, Institut Geographique National (France)
Olivier Jamet, Institut Geographique National (France)
Henri Maitre, Ecole Nationale Superieure des Telecommunications de Paris (France)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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