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    Procedural Shape Generation for Multi-dimensional Data Visualization

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    Date
    1999
    Author
    Ebert, David S. ORCID
    Rohrer, Randall M.
    Shaw, Christopher D.
    Panda, Pradyut
    Kulda, James M.
    Roberts, D. Aaron
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    Abstract
    Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This paper explores several techniques for perceptually motivated procedural generation of shapes to increase the comprehension of multi-dimensional data. Our glyph-based system allows the visualization of both regular and irregular grids of volumetric data. A glyph`s location, 3D size, color, and opacity encode up to 8 attributes of scalar data per glyph. We have extended the system's capabilities to explore shape variation as a visualization attribute. We use procedural shape generation techniques because they allow flexibility, data abstraction, and freedom from specification of detailed shapes, We have explored three procedural shape generation techniques: fractal detail generation, superquadrics, and implicit surfaces. These techniques allow front 1 to 14 additional data dimensions to be visualized using glyph shape.
    BibTeX
    @inproceedings {10.2312:vissym19991017,
    booktitle = {VisSym99: Joint Eurographics - IEEE TCVG Symposium on Visualization},
    editor = {Gröller, E., Löffelmann, H., Ribarsky, W.},
    title = {{Procedural Shape Generation for Multi-dimensional Data Visualization}},
    author = {Ebert, David S. and Rohrer, Randall M. and Shaw, Christopher D. and Panda, Pradyut and Kulda, James M. and Roberts, D. Aaron},
    year = {1999},
    publisher = {Springer and The Eurographics Association},
    ISSN = {EG: 1727-5296},
    ISBN = {978-3-7091-6803-5},
    DOI = {10.2312/vissym19991017}
    }
    URI
    http://dx.doi.org/10.2312/vissym19991017
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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