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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/GLuj8
Repositorysid.inpe.br/banon/2005/07.15.15.47
Last Update2005:07.15.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2005/07.15.15.47.03
Metadata Last Update2022:06.14.00.13.02 (UTC) administrator
DOI10.1109/SIBGRAPI.2005.11
Citation KeyLonghurstDebaGillChal:2005:AnAnSe
TitleAnalytic antialiasing for selective high fidelity rendering
FormatOn-line
Year2005
Access Date2024, Apr. 28
Number of Files1
Size434 KiB
2. Context
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, RN, Brazil
Date9-12 Oct. 2005
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2005-07-15 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 ::
2022-06-14 00:13:02 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2005 > Analytic antialiasing for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Analytic antialiasing for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/GLuj8
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/GLuj8
Languageen
Target Filelonghurstp_antialiasing.pdf
User Grouplonghurs
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46R3ED5
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.05.04.08 7
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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