NDLI: Segmentation of complex buildings from aerial images and 3D surface reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Cohen, L.D. Vinson, S.
Copyright Year	2002
Description	Author affiliation: CEREMADE, Univ. Paris 9 Dauphine, France (Cohen, L.D.; Vinson, S.)
Abstract	This paper presents a new method for extraction of buildings in aerial images. We first present a method based on rectangular buildings, which are the most common constructions. We then extend this method to more complex shapes by decomposition in a set of rectangles. These rectangles are used to enhance a 3D reconstruction of the digital elevation model (DEM). Based on stereo data, we use the DEM and the orthoimage for a first segmentation of all areas at elevation above ground. We estimate the rectangle parameters over any given blob and define a criterion for checking the similarity between shape and model. We introduce a new approach for automatic reconstruction of buildings of complex shapes using an iterative splitting of the region until it is covered by a set of rectangles. This automatic process is successfully illustrated on synthetic and real examples. In order to refine location and size of the model, we present a deformable rectangle template. The final rectangle and complex shape models are used together with elevation to obtain a 3D realistic reconstruction of the scene including building models.
Sponsorship	IEEE Comput. Soc
Starting Page	215
Ending Page	219
File Size	866935
Page Count	5
File Format	PDF
ISBN	0769518583
DOI	10.1109/ACV.2002.1182184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Surface reconstruction Image reconstruction Shape Buildings Digital elevation models Parameter estimation Iterative methods Deformable models Layout
Content Type	Text
Resource Type	Article

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