Reconstructing the Geometry of Flowing Water


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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, pp. 1055-1060. ISBN 0-7695-2334-X. Available under: doi: 10.1109/ICCV.2005.202

@inproceedings{Ihrke2005Recon-29128, title={Reconstructing the Geometry of Flowing Water}, year={2005}, doi={10.1109/ICCV.2005.202}, isbn={0-7695-2334-X}, address={Los Alamitos [u.a.]}, publisher={IEEE}, 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} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Magnor, Marcus</dc:creator> <dcterms:title>Reconstructing the Geometry of Flowing Water</dcterms:title> <dc:contributor>Magnor, Marcus</dc:contributor> <dc:contributor>Ihrke, Ivo</dc:contributor> <dcterms:available rdf:datatype="">2014-10-16T11:17:32Z</dcterms:available> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource=""/> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:isPartOf rdf:resource=""/> <dc:language>eng</dc:language> <bibo:uri rdf:resource=""/> <dc:creator>Ihrke, Ivo</dc:creator> <dcterms:abstract xml:lang="eng">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.</dcterms:abstract> <dc:creator>Goldlücke, Bastian</dc:creator> <dc:contributor>Goldlücke, Bastian</dc:contributor> <dcterms:issued>2005</dcterms:issued> <dc:date rdf:datatype="">2014-10-16T11:17:32Z</dc:date> </rdf:Description> </rdf:RDF>

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