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    • 35-Issue 3
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    Visibility Equalizer Cutaway Visualization of Mesoscopic Biological Models

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    Date
    2016
    Author
    Muzic, Mathieu Le
    Mindek, Peter
    Sorger, Johannes ORCID
    Autin, Ludovic ORCID
    Goodsell, David S. ORCID
    Viola, Ivan
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    Abstract
    In scientific illustrations and visualization, cutaway views are often employed as an effective technique for occlusion management in densely packed scenes.We propose a novel method for authoring cutaway illustrations of mesoscopic biological models. In contrast to the existing cutaway algorithms, we take advantage of the specific nature of the biological models. These models consist of thousands of instances with a comparably smaller number of different types. Our method constitutes a two stage process. In the first step, clipping objects are placed in the scene, creating a cutaway visualization of the model. During this process, a hierarchical list of stacked bars inform the user about the instance visibility distribution of each individual molecular type in the scene. In the second step, the visibility of each molecular type is fine-tuned through these bars, which at this point act as interactive visibility equalizers. An evaluation of our technique with domain experts confirmed that our equalizer-based approach for visibility specification is valuable and effective for both, scientific and educational purposes.
    BibTeX
    @article {10.1111:cgf.12892,
    journal = {Computer Graphics Forum},
    title = {{Visibility Equalizer Cutaway Visualization of Mesoscopic Biological Models}},
    author = {Muzic, Mathieu Le and Mindek, Peter and Sorger, Johannes and Autin, Ludovic and Goodsell, David S. and Viola, Ivan},
    year = {2016},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.12892}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12892
    https://diglib.eg.org:443/handle/10
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    • 35-Issue 3
    • EuroVis16: Eurographics Conference on Visualization

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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.
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