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@InProceedings{NascimentoPaixLopeLewi:2010:ToVeFi,
               author = "Nascimento, Renata and Paix{\~a}o, Jo{\~a}o and Lopes, 
                         H{\'e}lio and Lewiner, Thomas",
          affiliation = "Matm{\'{\i}}dia Laboratory – Department of Mathematics, PUC–Rio 
                         – Rio de Janeiro, Brazil and Matm{\'{\i}}dia Laboratory – 
                         Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil and 
                         Matm{\'{\i}}dia Laboratory – Department of Mathematics, PUC–Rio 
                         – Rio de Janeiro, Brazil and Matm{\'{\i}}dia Laboratory – 
                         Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil",
                title = "Topology-Aware Vector Field Denoising",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "vector fields, topology, scale-spaces, denoising.",
             abstract = "Recent developments in data acquisition technology enable to 
                         directly capture real vector fields, helping for a better 
                         understanding of physical phenomena. However measured data is 
                         corrupted by noise, puzzling the understanding of the phenomena. 
                         This turns the task of removing noise, i.e. denoising, an 
                         essential preprocessing step for a better analysis of the data. 
                         Nonetheless a careful use of denoising is required since usual 
                         algorithms not only remove the noise but can also eliminate 
                         information, in particular the vector field singularities, which 
                         are fundamental features in the analysis. This paper proposes a 
                         semi-automatic vector field denoising methodology, where the user 
                         visually controls the topological changes caused by classical 
                         vector field filtering in scale-spaces.",
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "TopoVF_sibgrapi_final.pdf",
        urlaccessdate = "2020, Dec. 05"
}


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