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Proceedings Paper

Semiautomatic generation of semantic building models from image series
Author(s): Stefan Wirtz; Peter Decker; Dietrich Paulus
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Paper Abstract

We present an approach to generate a 3D model of a building including semantic annotations from image series. In the recent years semantic based modeling, reconstruction of buildings and building recognition became more and more important. Semantic building models have more information than just the geometry, thus making them more suitable for recognition or simulation tasks. The time consuming generation of such models and annotations makes an automatism desirable. Therefore, we present a semiautomatic approach towards semantic model generation. This approach has been implemented as a plugin for the photostitching tool Hugin*. Our approach reduces the interaction with the system to a minimum. The resulting model contains semantic, geometric and appearance information and is represented in City Geography Markup Language (CityGML).

Paper Details

Date Published: 30 January 2012
PDF: 8 pages
Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 829019 (30 January 2012); doi: 10.1117/12.908489
Show Author Affiliations
Stefan Wirtz, Univ. of Koblenz-Landau (Germany)
Peter Decker, Univ. of Koblenz-Landau (Germany)
Dietrich Paulus, Univ. of Koblenz-Landau (Germany)


Published in SPIE Proceedings Vol. 8290:
Three-Dimensional Image Processing (3DIP) and Applications II
Atilla M. Baskurt; Robert Sitnik, Editor(s)

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