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    • 30-Issue 6
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    The State of the Art in Topology‐Based Visualization of Unsteady Flow

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    Date
    2011
    Author
    Pobitzer, Armin
    Peikert, Ronald
    Fuchs, Raphael
    Schindler, Benjamin
    Kuhn, Alexander
    Theisel, Holger
    Matković, Krešimir
    Hauser, Helwig
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    Abstract
    Vector fields are a common concept for the representation of many different kinds of flow phenomena in science and engineering. Methods based on vector field topology are known for their convenience for visualizing and analysing steady flows, but a counterpart for unsteady flows is still missing. However, a lot of good and relevant work aiming at such a solution is available. We give an overview of previous research leading towards topology‐based and topology‐inspired visualization of unsteady flow, pointing out the different approaches and methodologies involved as well as their relation to each other, taking classical (i.e. steady) vector field topology as our starting point. Particularly, we focus on Lagrangian methods, space–time domain approaches, local methods and stochastic and multifield approaches. Furthermore, we illustrate our review with practical examples for the different approaches.
    BibTeX
    @article {10.1111:j.1467-8659.2011.01901.x,
    journal = {Computer Graphics Forum},
    title = {{The State of the Art in Topology‐Based Visualization of Unsteady Flow}},
    author = {Pobitzer, Armin and Peikert, Ronald and Fuchs, Raphael and Schindler, Benjamin and Kuhn, Alexander and Theisel, Holger and Matković, Krešimir and Hauser, Helwig},
    year = {2011},
    publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2011.01901.x}
    }
    URI
    https://diglib.eg.org:443/handle/10.1111/v30i6pp1789-1811
    http://dx.doi.org/10.1111/j.1467-8659.2011.01901.x
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA