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An asynchronous method for cloud-based rendering

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Bugeja, Keith, Debattista, Kurt and Spina, Sandro (2019) An asynchronous method for cloud-based rendering. The Visual Computer, 35 . pp. 1827-1840. doi:10.1007/s00371-018-1577-8 ISSN 0178-2789.

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Official URL: http://dx.doi.org/10.1007/s00371-018-1577-8

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Abstract

Interactive high-fidelity rendering is still unachievable on many consumer devices. Cloud gaming services have shown promise in delivering interactive graphics beyond the individual capabilities of user devices. However, a number of shortcomings are manifest in these systems: high network bandwidths are required for higher resolutions and input lag due to network fluctuations heavily disrupts user experience. In this paper, we present a scalable solution for interactive high-fidelity graphics based on a distributed rendering pipeline where direct lighting is computed on the client device and indirect lighting in the cloud. The client device keeps a local cache for indirect lighting which is asynchronously updated using an object space representation; this allows us to achieve interactive rates that are unconstrained by network performance for a wide range of display resolutions that are also robust to input lag. Furthermore, in multi-user environments, the computation of indirect lighting is amortised over participating clients.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Rendering (Computer graphics), Cloud computing, Distributed algorithms
Journal or Publication Title: The Visual Computer
Publisher: Springer
ISSN: 0178-2789
Official Date: December 2019
Dates:
DateEvent
December 2019Published
16 July 2018Available
1 July 2018Accepted
Volume: 35
Page Range: pp. 1827-1840
DOI: 10.1007/s00371-018-1577-8
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 19 September 2018
Date of first compliant Open Access: 16 July 2019

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