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    Adaptive Hierarchical Visibility in a Tiled Architecture

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    075-084.pdf (1.591Mb)
    Date
    1999
    Author
    Xie, Feng
    Shantz, Michael
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    Abstract
    This paper describes a method for occlusion culling in a tiled 3D graphics hardware architecture. Adaptive hierarchical visibility (AHV) is a simplified method for occlusion culling that is integrated into a tiled architecture for hardware rendering. AI-IV constructs a list of polygon bins for each tile where the bins are bucket sorted in order of increasing depth or Z. Polygon bins are rendered starting with the bin closest to the viewer. After some number of bins are rendered, a one layer, hierarchical Zbuffer (HZ) is constructed from the Z-buffer thus far accumulated for the rendered bins. Subsequent bins are rendered by first testing their polygons against the HZ to see if they are hidden. AHV is far simpler to implement in hardware and gives performance that matches or surpasses progressive hierarchical visibility (PHV) methods which update the HZ for each rendered pixel. Results show that AI-IV is superior on scenes with high depth complexity and small polygons. For tiles of widely ranging statistics, AHV competes surprisingly well with PHV. It offers dramatic performance improvement on low cost hardware for scenes of high depth complexity.
    BibTeX
    @inproceedings {10.2312:EGGH:EGGH99:075-084,
    booktitle = {SIGGRAPH/Eurographics Workshop on Graphics Hardware},
    editor = {A. Kaufmann and W. Strasser and S. Molnar and B.- O. Schneider},
    title = {{Adaptive Hierarchical Visibility in a Tiled Architecture}},
    author = {Xie, Feng and Shantz, Michael},
    year = {1999},
    publisher = {The Eurographics Association},
    ISSN = {1727-3471},
    ISBN = {1-58113-170-4},
    DOI = {10.2312/EGGH/EGGH99/075-084}
    }
    URI
    http://dx.doi.org/10.2312/EGGH/EGGH99/075-084
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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