Reconstructing the Geometry of Flowing Water
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2005
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IEEE, , ed.. Proceedings : Tenth IEEE International Conference on Computer Vision ; Beijing, China, October 17 - 20, 2004. Volume 2. Los Alamitos [u.a.]: IEEE, 2005, pp. 1055-1060. ISBN 0-7695-2334-X. Available under: doi: 10.1109/ICCV.2005.202
Zusammenfassung
We present a recording scheme, image formation model and reconstruction method that enables image-based modeling of flowing bodies of water from multivideo input data. The recorded water is dyed with a fluorescent chemical to measure the thickness of a column of water which leads to an image formation model based on integrated emissivities along a viewing ray. This model allows for a photo-consistency based error measure for a weighted minimal surface, which is recovered using a PDE obtained from the Euler-Lagrangian formulation of the problem. The resulting equation is solved using the level set method.
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004 Informatik
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computational geometry, flow, image reconstruction, surface reconstruction, water
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ICCV 2055 : The tenth international conference on computer vision, 17. Okt. 2005 - 21. Okt. 2005, Beijing
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IHRKE, Ivo, Bastian GOLDLÜCKE, Marcus MAGNOR, 2005. Reconstructing the Geometry of Flowing Water. ICCV 2055 : The tenth international conference on computer vision. Beijing, 17. Okt. 2005 - 21. Okt. 2005. In: IEEE, , ed.. Proceedings : Tenth IEEE International Conference on Computer Vision ; Beijing, China, October 17 - 20, 2004. Volume 2. Los Alamitos [u.a.]: IEEE, 2005, pp. 1055-1060. ISBN 0-7695-2334-X. Available under: doi: 10.1109/ICCV.2005.202BibTex
@inproceedings{Ihrke2005Recon-29128, year={2005}, doi={10.1109/ICCV.2005.202}, title={Reconstructing the Geometry of Flowing Water}, isbn={0-7695-2334-X}, publisher={IEEE}, address={Los Alamitos [u.a.]}, booktitle={Proceedings : Tenth IEEE International Conference on Computer Vision ; Beijing, China, October 17 - 20, 2004}, pages={1055--1060}, editor={IEEE}, author={Ihrke, Ivo and Goldlücke, Bastian and Magnor, Marcus} }
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