@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, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.22",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.22",
language = "en",
ibi = "8JMKD3MGPBW34M/386CDGL",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/386CDGL",
targetfile = "TopoVF_sibgrapi_final.pdf",
urlaccessdate = "2024, May 02"
}