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Lazy details for large high-resolution displays

Published: 24 November 2014 Publication History
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  • Abstract

    Rendering techniques for design evaluation and review or for visualizing large volume data often use computationally expensive ray-based methods. Due to the number of pixels and the amount of data, these methods often do not achieve interactive frame rates. A view direction based rendering technique renders the users central field of view in high quality whereas the surrounding is rendered with a level of detail approach depending on the distance to the users central field of view thus giving the opportunity to increase rendering efficiency. We propose a prototype implementation and evaluation of a focus-based rendering technique based on a hybrid ray tracing/sparse voxel octree rendering approach.

    Reference

    [1]
    Laine, S., and Karras, T. 2011. Efficient sparse voxel octrees. IEEE Transactions on Visualization and Computer Graphics 17, 1048--1059.

    Cited By

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    • (2024)Eye-tracking on virtual reality: a surveyVirtual Reality10.1007/s10055-023-00903-y28:1Online publication date: 5-Feb-2024
    • (2023)Research on Human-Computer Interaction Technology of Large-Scale High-Resolution Display Wall SystemApplied Sciences10.3390/app1301059113:1(591)Online publication date: 1-Jan-2023
    • (2015)Guided High-Quality RenderingAdvances in Visual Computing10.1007/978-3-319-27863-6_11(115-125)Online publication date: 18-Dec-2015

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    cover image ACM Other conferences
    SA '14: SIGGRAPH Asia 2014 Posters
    November 2014
    47 pages
    ISBN:9781450327923
    DOI:10.1145/2668975
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 November 2014

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    SA'14
    SA'14: SIGGRAPH Asia 2014
    December 3 - 6, 2014
    Shenzhen, China

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    Overall Acceptance Rate 178 of 869 submissions, 20%

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    Cited By

    View all
    • (2024)Eye-tracking on virtual reality: a surveyVirtual Reality10.1007/s10055-023-00903-y28:1Online publication date: 5-Feb-2024
    • (2023)Research on Human-Computer Interaction Technology of Large-Scale High-Resolution Display Wall SystemApplied Sciences10.3390/app1301059113:1(591)Online publication date: 1-Jan-2023
    • (2015)Guided High-Quality RenderingAdvances in Visual Computing10.1007/978-3-319-27863-6_11(115-125)Online publication date: 18-Dec-2015

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