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Reference TypeConference Paper (Conference Proceedings)
Last Update2013: (UTC) administrator
Metadata Last Update2013: (UTC) administrator
Citation KeyBastosOliv:1994:ImSaRe
TitleImproved sampling and reconstruction in radiosity
FormatImpresso, On-line.
Access Date2021, Dec. 06
Number of Files1
Size7383 KiB
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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
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
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-01-24 15:18:36 :: -> administrator ::
2013-02-02 13:16:09 :: administrator -> :: 1994
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
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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Target File34 Improved sampling and reconstruction in radiosity.pdf
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