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abstract

Perceptual model optimized efficient foveated rendering

Published: 28 November 2018 Publication History

Abstract

Higher resolution, wider FOV and increasing frame rate of HMD are demanding more VR computing resources. Foveated rendering is a key solution to these challenges. This paper introduces a perceptual model optimized foveated rendering. Tessellation levels and culling areas are adaptively adjusted based on visual sensitivity. We improve rendering performance while satisfying visual perception.

References

[1]
Brian Guenter, Mark Finch, Steven Drucker, Desney Tan, and John Snyder. 2012. Foveated 3D Graphics. ACM Trans. Graph. 31, 6, Article 164 (Nov. 2012), 10 pages.
[2]
M. Reddy. 2001. Perceptually optimized 3D graphics. IEEE Computer Graphics and Applications 21, 5 (Sep 2001), 68--75.
[3]
Nicholas T. Swafford, José A. Iglesias-Guitian, Charalampos Koniaris, Bochang Moon, Darren Cosker, and Kenny Mitchell. 2016. User, Metric, and Computational Evaluation of Foveated Rendering Methods. In Proceedings of the ACM Symposium on Applied Perception (SAP '16). ACM, New York, NY, USA, 7--14.
[4]
Benjamin Watson, Neff Walker, and Larry F. Hodges. 2004. Supra-threshold Control of Peripheral LOD. ACM Trans. Graph. 23, 3 (Aug. 2004), 750--759.

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Published In

cover image ACM Conferences
VRST '18: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology
November 2018
570 pages
ISBN:9781450360869
DOI:10.1145/3281505
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: 28 November 2018

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Author Tags

  1. computer graphics
  2. perceptual model
  3. rendering
  4. virtual reality

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VRST '18

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Overall Acceptance Rate 66 of 254 submissions, 26%

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  • (2024)BOXR: Body and head motion Optimization framework for eXtended Reality2024 IEEE Real-Time Systems Symposium (RTSS)10.1109/RTSS62706.2024.00016(70-82)Online publication date: 10-Dec-2024
  • (2024)Eye-tracking on virtual reality: a surveyVirtual Reality10.1007/s10055-023-00903-y28:1Online publication date: 5-Feb-2024
  • (2023)Foveated rendering: A state-of-the-art surveyComputational Visual Media10.1007/s41095-022-0306-49:2(195-228)Online publication date: 3-Jan-2023
  • (2022)Foveated Stochastic LightcutsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.320308928:11(3684-3693)Online publication date: Nov-2022

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