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    Simultaneous GPU-Assisted Raycasting of Unstructured Point Sets and Volumetric Grid Data

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    2007
    Author
    Kaehler, Ralf
    Abel, Tom
    Hege, Hans-Christian
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    Abstract
    In the recent years the advent of powerful graphics hardware with programmable pixel shaders enabled interactive raycasting implementations on low-cost commodity desktop computers. Unlike slice-based volume rendering approaches GPU-assisted raycasting does not suffer from rendering artifacts caused by varying sample distances along different ray-directions or limited frame-buffer precision. It further supports direct implementations of many sophisticated acceleration techniques and lighting models. In this paper we present a GPU-assisted raycasting approach for data that consists of volumetric fields defined on computational grids as well as unstructured point sets. We avoid resampling the point data onto proxy grids by directly encoding the point data in a GPU-octree data structure. This allows to efficiently access the (semitransparent) point data during ray traversal and correctly blend it with the grid data, yielding interactive, highquality rendering results. We discuss approaches to accelerate the rendering performance for larger point sets and give real world application examples to demonstrate the usefulness of our approach.
    BibTeX
    @inproceedings {10.2312:VG:VG07:049-056,
    booktitle = {Eurographics/IEEE VGTC Symposium on Volume Graphics},
    editor = {H.-C. Hege and R. Machiraju and T. Moeller and M. Sramek},
    title = {{Simultaneous GPU-Assisted Raycasting of Unstructured Point Sets and Volumetric Grid Data}},
    author = {Kaehler, Ralf and Abel, Tom and Hege, Hans-Christian},
    year = {2007},
    publisher = {The Eurographics Association},
    ISSN = {1727-8376},
    ISBN = {978-3-905674-03-3},
    DOI = {10.2312/VG/VG07/049-056}
    }
    URI
    http://dx.doi.org/10.2312/VG/VG07/049-056
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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