| Identity statement area | |
| Reference Type | Conference Paper (Conference Proceedings) |
| Site | sibgrapi.sid.inpe.br |
| Identifier | 6qtX3pFwXQZeBBx/GLuj8 |
| Repository | sid.inpe.br/banon/2005/07.15.15.47 |
| Last Update | 2005:07.15.03.00.00 administrator |
| Metadata | sid.inpe.br/banon/2005/07.15.15.47.03 |
| Metadata Last Update | 2020:02.19.03.19.17 administrator |
| Citation Key | LonghurstDebaGillChal:2005:AnAnSe |
| Title | Analytic antialiasing for selective high fidelity rendering  |
| Format | On-line |
| Year | 2005 |
| Date | 9-12 Oct. 2005 |
| Access Date | 2021, Jan. 19 |
| Number of Files | 1 |
| Size | 434 KiB |
| Context area | |
| Author | 1 Longhurst, Peter 2 Debattista, Kurt 3 Gillibrand, Richard 4 Chalmers, Alan |
| Affiliation | 1 University of Bristol 2 Department of Computer Science 3 Merchant Venturers Building 4 Woodland Road 5 Bristol. BS8 1UB, UK |
| Editor | Rodrigues, Maria Andréia Formico Frery, Alejandro César |
| e-Mail Address | pete.longhurst@bristol.ac.uk |
| Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI) |
| Conference Location | Natal |
| Book Title | Proceedings |
| Publisher | IEEE Computer Society |
| Publisher City | Los Alamitos |
| Tertiary Type | Full Paper |
| History | 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 :: 2020-02-19 03:19:17 :: administrator -> :: 2005 |
| Content and structure area | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Keywords | Antialiasing. |
| Abstract | Images 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. |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| Conditions of access and use area | |
| data URL | http://urlib.net/rep/6qtX3pFwXQZeBBx/GLuj8 |
| zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/GLuj8 |
| Language | en |
| Target File | longhurstp_antialiasing.pdf |
| User Group | longhurs administrator |
| Visibility | shown |
| Allied materials area | |
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
| Notes area | |
| Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |