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| description |
Frequently, algorithms for 3D facade reconstruction extract high
resolution building geometry like windows, doors and protrusions
from terrestrial LiDAR and image data. However, such a bottom-up
modelling of facade structures is only feasible if the observed data
meets considerable requirements on the amount of detail and
coverage. For this reason, within our work, the explicit
reconstruction of facades is enhanced by the integration of rules.
The rules are derived automatically from already reconstructed
facades, which serve as knowledge base for further processing. As an
example, dominant or repetitive features and regularities as well as
their hierarchical relationship are detected from the modelled
facade elements. The rules together with the 3D representations of
the modelled facade elements constitute a formal grammar. It holds
all the information which is necessary to reconstruct facades in the
style of the given building. In our approach, they are used for both
the verification of the facade model generated during the data
driven reconstruction process and the generation of synthetic
facades for which no observed sensor data is available.
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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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| type |
Text
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| Article in Proceedings
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| source |
In: Proceedings of XXI ISPRS Congress, Beijing, China, July 3-11,
2008, pp. 1-6
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| ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2008-54/INPROC-2008-54.pdf
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| contributor |
Institut für Photogrammetrie (ifp)
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| format |
application/pdf
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| 1011811 Bytes
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| subject |
Computer Applications General (CR J.0)
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