Article

GPU-accelerated high-quality hidden surface removal

Authors:

Jonathan RiceAuthors Info & Claims

HWWS '05: Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware

Pages 7 - 14

https://doi.org/10.1145/1071866.1071868

Published: 30 July 2005 Publication History

Abstract

High-quality off-line rendering requires many features not natively supported by current commodity graphics hardware: wide smooth filters, high sampling rates, order-independent transparency, spectral opacity, motion blur, depth of field. We present a GPU-based hidden-surface algorithm that implements all these features. The algorithm is Reyes-like but uses regular sampling and multiple passes. Transparency is implemented by depth peeling, made more efficient by opacity thresholding and a new method called z batches. We discuss performance and some design trade-offs. At high spatial sampling rates, our implementation is substantially faster than a CPU-only renderer for typical scenes.

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Cited By

Sun XChen XLi LCai HGrundy JSamhi JBissyandé TKlein J(2023)Demystifying Hidden Sensitive Operations in Android AppsACM Transactions on Software Engineering and Methodology10.1145/357415832:2(1-30)Online publication date: 29-Mar-2023
https://dl.acm.org/doi/10.1145/3574158
Kim DKye H(2021) Z ‐Thickness Blending: Effective Fragment Merging for Multi‐Fragment Rendering Computer Graphics Forum10.1111/cgf.1440940:7(149-160)Online publication date: 27-Nov-2021
https://doi.org/10.1111/cgf.14409
Vasilakis AVardis KPapaioannou G(2020)A Survey of Multifragment RenderingComputer Graphics Forum10.1111/cgf.1401939:2(623-642)Online publication date: 13-Jul-2020
https://doi.org/10.1111/cgf.14019
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Index Terms

GPU-accelerated high-quality hidden surface removal
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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cover image ACM Conferences

HWWS '05: Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware

July 2005

121 pages

ISBN:1595930868

DOI:10.1145/1071866

Conference Chairs:
Mark Harris
NVIDIA, UK
,
David Luebke
University of Virginia, USA

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 July 2005

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GH05

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GH05: Graphics Hardware 2005

July 30 - 31, 2005

California, Los Angeles

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Overall Acceptance Rate 37 of 94 submissions, 39%

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Cited By

Sun XChen XLi LCai HGrundy JSamhi JBissyandé TKlein J(2023)Demystifying Hidden Sensitive Operations in Android AppsACM Transactions on Software Engineering and Methodology10.1145/357415832:2(1-30)Online publication date: 29-Mar-2023
https://dl.acm.org/doi/10.1145/3574158
Kim DKye H(2021) Z ‐Thickness Blending: Effective Fragment Merging for Multi‐Fragment Rendering Computer Graphics Forum10.1111/cgf.1440940:7(149-160)Online publication date: 27-Nov-2021
https://doi.org/10.1111/cgf.14409
Vasilakis AVardis KPapaioannou G(2020)A Survey of Multifragment RenderingComputer Graphics Forum10.1111/cgf.1401939:2(623-642)Online publication date: 13-Jul-2020
https://doi.org/10.1111/cgf.14019
Mohan JMartinez APonnapalli SRaju PChidambaram V(2019)CrashMonkey and ACEACM Transactions on Storage10.1145/332027515:2(1-34)Online publication date: 20-Apr-2019
https://dl.acm.org/doi/10.1145/3320275
Islam MKundu S(2019)Enabling IC Traceability via Blockchain Pegged to Embedded PUFACM Transactions on Design Automation of Electronic Systems10.1145/331566924:3(1-23)Online publication date: 5-Apr-2019
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Vinco SBombieri NPagliari DFummi FMacii EPoncino M(2019)A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing MonitorsACM Transactions on Design Automation of Electronic Systems10.1145/330856524:3(1-23)Online publication date: 11-Mar-2019
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Han SChen GNehab DSander P(2018)In-Depth BuffersProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/32031941:1(1-14)Online publication date: 25-Jul-2018
https://dl.acm.org/doi/10.1145/3203194
Bolstad MDachsbacher C(2014)Parallel methodologies for a micropolygon rendererProceedings of the 14th Eurographics Symposium on Parallel Graphics and Visualization10.5555/2855568.2855573(17-24)Online publication date: 9-Jun-2014
https://dl.acm.org/doi/10.5555/2855568.2855573
Wang WXie G(2013)Memory-Efficient Single-Pass GPU Rendering of Multifragment EffectsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2012.32019:8(1307-1316)Online publication date: 1-Aug-2013
https://dl.acm.org/doi/10.1109/TVCG.2012.320
Vasilakis AFudos I(2013)Depth-Fighting Aware Methods for Multifragment RenderingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2012.30019:6(967-977)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1109/TVCG.2012.300
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