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| description |
The reconstruction of 3D city models has matured to the point where
large data sets are now available. As most of the data collection
methods used are based on airborne sensors like e.g. aerial laser
scanning or stereo imagery, the detailed geometry and material of
the building façades is typically not available. For visualisation
purposes, however, the surface structure is essential to achieve a
good visual impression of the respective buildings. An efficient
technique to provide the missing building façades is to extract
texture images from terrestrial photographs and map them to the
polygonal faces of the reconstructed models. As the task of manual
texture extraction and placement is very time-consuming, an
automatic approach is presented in this article that utilises the
rendering pipeline of modern 3D graphics cards. The problem of
texture extraction can therefore be solved by using graphics
algorithms that are nowadays implemented in hardware and
consequently are extremely fast. Since only parts of the building or
even of a façade are typically captured in one single image, self
occlusions of the buildings are detected and several photographs
taken from various positions are fused to generate the final texture
images. In order to gain high quality textures, the lens distortion
of calibrated cameras is corrected on-the-fly by the use of pixel
shaders that are running on the programmable graphics processing
unit.
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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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| Istanbul, Turkey: Altan-Verlag
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| type |
Text
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| Article in Proceedings
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| source |
In: Altan, M.O. (ed.): Proceedings of the XXth Conference of ISPRS
'04. Vol. XXXV, pp. 1-6
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| ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2004-57/INPROC-2004-57.pdf
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| contributor |
Institut für Photogrammetrie (ifp)
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| format |
application/pdf
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| 495778 Bytes
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| subject |
Computer Applications General (CR J.0)
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