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Dynamic Vertex Hierarchies for Parallel View-Dependent Progressive Meshes

Published:25 July 2022Publication History

ABSTRACT

Triangles are one way we measure the complexity in a synthesized image. There often exists a trade-off between how realistic the synthesized image is based on the number of triangles and the overall rendering time. In real time applications, this trade-off becomes more important as we need to render detailed scenes at a fixed frame rate without sacrificing image quality. We propose a new view-dependent method that creates a more dynamic structure and is easy to parallelize. We also propose an amortized rebalancing operation to reduce long dependency lines in our data structure, prevent worst-case behavior, and in some instances improve the average case.

Our implementation is still in-progress, but our new method is provably consistent and has potential to reduce the amount of storage needed for view-dependent methods and remove more geometry at higher fidelity, along with other performance improvements.

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References

  1. Hugues Hoppe. 1996. Progressive meshes. In Proceedings of the 23rd annual conference on Computer graphics and interactive techniques. 99–108.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Hugues Hoppe. 1997. View-dependent refinement of progressive meshes. In Proceedings of the 24th annual conference on Computer graphics and interactive techniques. 189–198.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Liang Hu, Pedro V. Sandler, and Hugues Hoppe. 2009. Parallel View-Dependent Refinement of Progressive Meshes. In Symposium on Interactive 3D Graphics and Games (I3D). 169–176.Google ScholarGoogle Scholar
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  5. Thomas Odaker, Dieter Kranzlmueller, and Jens Volkert. 2015. View-dependent simplification using parallel half edge collapses. In SCG 2015 Conference on Computer Graphics, Visualization and Computer Vision.Google ScholarGoogle Scholar
  6. Julie C Xia and Amitabh Varshney. 1996. Dynamic view-dependent simplification for polygonal models. In Proceedings of Seventh Annual IEEE Visualization’96. IEEE, 327–334.Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Posters
    July 2022
    132 pages
    ISBN:9781450393614
    DOI:10.1145/3532719

    Copyright © 2022 Owner/Author

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 July 2022

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