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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3DEAJQ2
Repositorysid.inpe.br/sibgrapi/2013/01.24.15.18
Last Update2013:01.24.15.18.36 (UTC) administrator
Metadatasid.inpe.br/sibgrapi/2013/01.24.15.18.36
Metadata Last Update2013:02.02.13.16.09 (UTC) administrator
ISBN978-85-7669-272-0
Citation KeyBastosOliv:1994:ImSaRe
TitleImproved sampling and reconstruction in radiosity
FormatImpresso, On-line.
Year1994
Access Date2021, Dec. 06
Number of Files1
Size7383 KiB
Context area
Author1 Bastos, Rui Manuel Ribeiro de
2 Oliveira Neto, Manuel Menezes de
Affiliation1 Centro Nacional de Supercomputação (CESUP) da Universidade Federal do Rio Grande do Sul (UFRGS)
2 Centro Nacional de Supercomputação (CESUP) da Universidade Federal do Rio Grande do Sul (UFRGS)
EditorFreitas, Carla dal Sasso
Geus, Klaus de
Scheer, Sérgio
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 7 (SIBGRAPI)
Conference LocationCuritiba
Date9 - 11 nov. 1994
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Volume1
Pages255-262
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-01-24 15:18:36 :: cintiagraziele.silva@gmail.com -> administrator ::
2013-02-02 13:16:09 :: administrator -> cintiagraziele.silva@gmail.com :: 1994
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Is the master or a copy?is the master
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Transferable1
Keywordsradiosity
reconstruction techniques
realistic imagery
reconstruction in radiosity
AbstractRadiosity is a sampling and reconstruction method that approximates radiance function of real environments. Bad scene sampling leads to many artifacts in final images. Discontinuity meshing can provide initial meshing that warrants good sampling for regions with discontinuities in the illumination function. Although, that technique is unable to work in regions with no discontinuities. In such situations, adaptive subdivision can improve sampling. Even using adequate sampling, bad results are achieved if inadequate reconstruction of illumination functions. This paper analyses different combinations of sampling and reconstruction techniques and their contributions to improve realistic imagery.
TypeRealismo e Visualização
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data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3DEAJQ2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3DEAJQ2
Languageen
Target File34 Improved sampling and reconstruction in radiosity.pdf
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cintiagraziele.silva@gmail.com
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Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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