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    Temporal Focus+Context for Clusters in Particle Data

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    Date
    2017
    Author
    Staib, Joachim
    Grottel, Sebastian
    Gumhold, Stefan
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    Abstract
    Time-dependent particle-based simulations are typically carried out by direct calculation of interactions between particles over time. The investigation of higher order effects of particle clusters helps understanding the system's dynamic. Existing methods for particle data analysis either rely on animation, where only one time step is visible, or abstraction, which is giving up on visualizing the data in its spatial domain. Inspired from illustrative techniques, we present an interactive focus+context visualization, based on flow ribbons, that combines both approaches. Our method jointly shows one time step in detail, as well as an abstract contextual visualization of past and future dynamics in one image. It allows to assess the time evolution of various cluster attributes around the current temporal focus. We show the usefulness of the approach on two exemplary case studies.
    BibTeX
    @inproceedings {vmv.20171263,
    booktitle = {Vision, Modeling & Visualization},
    editor = {Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao},
    title = {{Temporal Focus+Context for Clusters in Particle Data}},
    author = {Staib, Joachim and Grottel, Sebastian and Gumhold, Stefan},
    year = {2017},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-049-9},
    DOI = {10.2312/vmv.20171263}
    }
    URI
    http://dx.doi.org/10.2312/vmv.20171263
    https://diglib.eg.org:443/handle/10.2312/vmv20171263
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA