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Closed stream lines in uncertain vector fields

Published: 28 April 2011 Publication History

Abstract

We present a method for the detection and visualization of closed stream lines topologically acting as sources or sinks in uncertain 2D and 3D vector fields. For their detection, we apply a Monte Carlo simulation which generates particle distribution functions representing sinks and sources. We show that in the uncertain case there is no structural difference between critical points and closed orbits. This allows the application of critical point extractors to closed stream lines as well. We show applications for some synthetic and real world examples.

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  • (2019)Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.285677225:9(2710-2724)Online publication date: 1-Sep-2019
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  • (2016)A Survey of Topology‐based Methods in VisualizationComputer Graphics Forum10.1111/cgf.1293335:3(643-667)Online publication date: 4-Jul-2016
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cover image ACM Other conferences
SCCG '11: Proceedings of the 27th Spring Conference on Computer Graphics
April 2011
158 pages
ISBN:9781450319782
DOI:10.1145/2461217
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Comenius University: Comenius University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 April 2011

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Author Tags

  1. flow visualization
  2. topology
  3. uncertainty

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  • Research-article

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SCCG '11
Sponsor:
  • Comenius University
SCCG '11: Spring Conference on Computer Graphics
April 28 - 30, 2011
Viničné, Slovak Republic

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SCCG '11 Paper Acceptance Rate 20 of 42 submissions, 48%;
Overall Acceptance Rate 67 of 115 submissions, 58%

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Cited By

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  • (2019)Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.285677225:9(2710-2724)Online publication date: 1-Sep-2019
  • (2016)A Survey of Topology-based Methods in VisualizationComputer Graphics Forum10.5555/3071534.307159335:3(643-667)Online publication date: 1-Jun-2016
  • (2016)A Survey of Topology‐based Methods in VisualizationComputer Graphics Forum10.1111/cgf.1293335:3(643-667)Online publication date: 4-Jul-2016
  • (2014)Curve Boxplot: Generalization of Boxplot for Ensembles of CurvesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2014.234645520:12(2654-2663)Online publication date: 31-Dec-2014
  • (2014)On the (Un)Suitability of Strict Feature Definitions for Uncertain DataScientific Visualization10.1007/978-1-4471-6497-5_4(45-50)Online publication date: 19-Sep-2014
  • (2013)Nonparametric models for uncertainty visualizationProceedings of the 15th Eurographics Conference on Visualization10.1111/cgf.12100(131-140)Online publication date: 17-Jun-2013
  • (2012)Probabilistic Local Features in Uncertain Vector Fields with Spatial CorrelationComputer Graphics Forum10.1111/j.1467-8659.2012.03097.x31:3pt2(1045-1054)Online publication date: 1-Jun-2012
  • (2012)Vortex Analysis in Uncertain Vector FieldsComputer Graphics Forum10.1111/j.1467-8659.2012.03096.x31:3pt2(1035-1044)Online publication date: 1-Jun-2012

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