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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZeBBx/GLuj8
Repositorysid.inpe.br/banon/2005/07.15.15.47
Last Update2005:07.15.03.00.00 administrator
Metadatasid.inpe.br/banon/2005/07.15.15.47.03
Metadata Last Update2020:02.19.03.19.17 administrator
Citation KeyLonghurstDebaGillChal:2005:AnAnSe
TitleAnalytic antialiasing for selective high fidelity rendering
FormatOn-line
Year2005
Date9-12 Oct. 2005
Access Date2021, Jan. 19
Number of Files1
Size434 KiB
Context area
Author1 Longhurst, Peter
2 Debattista, Kurt
3 Gillibrand, Richard
4 Chalmers, Alan
Affiliation1 University of Bristol
2 Department of Computer Science
3 Merchant Venturers Building
4 Woodland Road
5 Bristol. BS8 1UB, UK
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
e-Mail Addresspete.longhurst@bristol.ac.uk
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2005-07-15 15:47:03 :: longhurs -> banon ::
2005-07-18 14:48:30 :: banon -> longhurs ::
2008-07-17 14:11:00 :: longhurs -> banon ::
2008-08-26 15:17:02 :: banon -> administrator ::
2009-08-13 20:37:53 :: administrator -> banon ::
2010-08-28 20:01:19 :: banon -> administrator ::
2020-02-19 03:19:17 :: administrator -> :: 2005
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsAntialiasing.
AbstractImages rendered using global illumination algorithms are considered amongst the most realistic in 3D computer graphics. However, this high fidelity comes at a significant computational expense. A major part of this cost arises from the sampling required to eliminate aliasing errors. These errors occur due to the discrete sampling of continuous geometry space inherent to these techniques. In this paper we present a fast analytic method for predicting in advance where antialiasing needs to be computed. This prediction is based on a rapid visualisation of the scene using a GPU, which is used to drive a selective renderer. We are able to significantly reduce the overall number of anitialiasing rays traced, producing an image that is perceptually indistinguishable from the high quality image at a much reduced computational cost.
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data URLhttp://urlib.net/rep/6qtX3pFwXQZeBBx/GLuj8
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GLuj8
Languageen
Target Filelonghurstp_antialiasing.pdf
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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