research-article

Flow field visualization using vector field perpendicular surfaces

Authors:

Karljohan Lundin Palmerius,

Matthew Cooper,

Anders YnnermanAuthors Info & Claims

SCCG '09: Proceedings of the 25th Spring Conference on Computer Graphics

Pages 27 - 34

https://doi.org/10.1145/1980462.1980471

Published: 23 April 2009 Publication History

Abstract

This paper introduces Vector Field Perpendicular Surfaces as a means to represent vector data with special focus on variations across the vectors in the field. These surfaces are a perpendicular analogue to streamlines, with the vector data always being parallel to the normals of the surface. In this way the orientation of the data is conveyed to the viewer, while providing a continuous representation across the vectors of the field. This paper describes the properties of such surfaces including an issue with helicity density in the vector data, an approach to generating them, several stop conditions and special means to handle also fields with non-zero helicity density.

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Cited By

Wurster SGuo HPeterka TShen H(2023)Neural Stream Functions2023 IEEE 16th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis56936.2023.00022(132-141)Online publication date: Apr-2023
https://doi.org/10.1109/PacificVis56936.2023.00022
Oettinger DBlazevski DHaller G(2016)Global variational approach to elliptic transport barriers in three dimensionsChaos: An Interdisciplinary Journal of Nonlinear Science10.1063/1.494473226:3(033114)Online publication date: Mar-2016
https://doi.org/10.1063/1.4944732
Haller G(2015)Lagrangian Coherent StructuresAnnual Review of Fluid Mechanics10.1146/annurev-fluid-010313-14132247:1(137-162)Online publication date: 3-Jan-2015
https://doi.org/10.1146/annurev-fluid-010313-141322
Show More Cited By

Index Terms

Flow field visualization using vector field perpendicular surfaces
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation
    2. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

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Published In

cover image ACM Other conferences

SCCG '09: Proceedings of the 25th Spring Conference on Computer Graphics

April 2009

214 pages

ISBN:9781450307697

DOI:10.1145/1980462

Conference Chair:
Helwig Hauser
University of Bergen, Norway
,
Editor:
Stephen N. Spencer
University of Washington

Copyright © 2009 ACM.

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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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 April 2009

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SCCG '09

Sponsor:

Comenius University

SCCG '09: Spring Conference on Computer Graphics

April 23 - 25, 2009

Budmerice, Slovakia

Acceptance Rates

SCCG '09 Paper Acceptance Rate 25 of 34 submissions, 74%;

Overall Acceptance Rate 67 of 115 submissions, 58%

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Cited By

Wurster SGuo HPeterka TShen H(2023)Neural Stream Functions2023 IEEE 16th Pacific Visualization Symposium (PacificVis)10.1109/PacificVis56936.2023.00022(132-141)Online publication date: Apr-2023
https://doi.org/10.1109/PacificVis56936.2023.00022
Oettinger DBlazevski DHaller G(2016)Global variational approach to elliptic transport barriers in three dimensionsChaos: An Interdisciplinary Journal of Nonlinear Science10.1063/1.494473226:3(033114)Online publication date: Mar-2016
https://doi.org/10.1063/1.4944732
Haller G(2015)Lagrangian Coherent StructuresAnnual Review of Fluid Mechanics10.1146/annurev-fluid-010313-14132247:1(137-162)Online publication date: 3-Jan-2015
https://doi.org/10.1146/annurev-fluid-010313-141322
Karrasch D(2015)Attracting Lagrangian coherent structures on Riemannian manifoldsChaos: An Interdisciplinary Journal of Nonlinear Science10.1063/1.492845125:8(087411)Online publication date: Aug-2015
https://doi.org/10.1063/1.4928451
Esturo JSchulze MRoss CTheisel H(2013)Poisson-based tools for flow visualization2013 IEEE Pacific Visualization Symposium (PacificVis)10.1109/PacificVis.2013.6596151(241-248)Online publication date: Feb-2013
https://doi.org/10.1109/PacificVis.2013.6596151
Farazmand MHaller G(2013)Attracting and repelling Lagrangian coherent structures from a single computationChaos: An Interdisciplinary Journal of Nonlinear Science10.1063/1.480021023:2(023101)Online publication date: Jun-2013
https://doi.org/10.1063/1.4800210
Schulze MRossl CGermer TTheisel H(2012)As-Perpendicular-as-possible surfaces for flow visualizationProceedings of the 2012 IEEE Pacific Visualization Symposium10.1109/PacificVis.2012.6183586(153-160)Online publication date: 28-Feb-2012
https://dl.acm.org/doi/10.1109/PacificVis.2012.6183586
Farazmand MHaller G(2012)Computing Lagrangian coherent structures from their variational theoryChaos: An Interdisciplinary Journal of Nonlinear Science10.1063/1.369015322:1(013128)Online publication date: Mar-2012
https://doi.org/10.1063/1.3690153
Edmunds MLaramee RChen GMax NZhang EWare C(2012)Surface-based flow visualizationComputers & Graphics10.1016/j.cag.2012.07.00636:8(974-990)Online publication date: Dec-2012
https://doi.org/10.1016/j.cag.2012.07.006

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