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| description |
The acquisition of 3D city and landscape models has been a topic of
major interest within the photogrammetric community and a number of
algorithms became available both for the automatic and semiautomatic
data collection. These 3D models are mainly used for visualisation
to generate realistic scenes and animations e.g. for planning and
navigation purposes. Since area covering urban models are usually
extracted from airborne data, a refinement is required especially if
realistic visualisations from pedestrian viewpoints are aspired. Of
particular interest are algorithms that allow for a fully automatic
facade reconstruction process at different levels of detail. For
this purpose, in our approach terrestrial LIDAR data as well as
facade imagery is used to increase the quality and amount of detail
for the respective 3D building models. The a priori information
which is provided by the models from airborne data collection is
integrated both for the automatic georeferencing of the terrestrial
data and the subsequent geometric refinement. After alignment of the
terrestrial data, window structures are determined approximately
from the LIDAR point clouds and then further refined by 3D edges
which are extracted from the overlapping facade images. Our
modelling process applies a 3D object representation by cell
decomposition, which can be used efficiently for building
reconstruction at different scales.
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| publisher |
University of Stuttgart : Collaborative Research Center SFB 627
(Nexus: World Models for Mobile Context-Based
Systems)
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| E. Schweizerbartsche Verlagsbuchhandlung, Stuttgart
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| type |
Text
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| Article in Journal
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| source |
In: Photogrammetrie Fernerkundung Geoinformation, 2008/2, pp. 65-81
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| contributor |
Institut für Photogrammetrie (ifp)
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| subject |
Computer Applications General (CR J.0)
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