Publikation:

Reconstructing the Geometry of Flowing Water

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2005

Autor:innen

Ihrke, Ivo
Magnor, Marcus

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https://doi.org/10.1109/ICCV.2005.202
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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.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

computational geometry, flow, image reconstruction, surface reconstruction, water

Konferenz

ICCV 2055 : The tenth international conference on computer vision, 17. Okt. 2005 - 21. Okt. 2005, Beijing
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ISO 690IHRKE, 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.2005.202
BibTex
@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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