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Reference TypeConference Proceedings
Identifier6qtX3pFwXQZG2LgkFdY/MfCL3
Repositorysid.inpe.br/sibgrapi@80/2006/08.24.20.46
Metadatasid.inpe.br/sibgrapi@80/2006/08.24.20.46.13
Sitesibgrapi.sid.inpe.br
Citation KeyEisemannDéco:2006:PlSoSh
Author1 Eisemann, Elmar
2 Décoret, Xavier
Affiliation1 ARTIS-GRAVIR
2 IMAG-INRIA
TitlePlausible soft shadows using occlusion textures
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Year2006
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Book TitleProceedings
Date8-11 Oct. 2006
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationManaus
Keywordsshadows, real-time, image-based.
AbstractThis paper presents a novel image-based approach to render plausible soft shadows for complex dynamic scenes with rectangular light sources. The algorithms performance is mostly independent of the scene complexity and the source's size. Occluders and receivers do not need to be separated and no knowledge about the scene representation is required, making the method easy to use. The main idea is to approximate the occlusion in the scene with prefiltered occlusion textures. The visibility of the light source at a point in space is estimated by accumulating the occlusion caused by each texture, using a novel formula based on probabilities.
Languageen
Tertiary TypeFull Paper
FormatOn-line
Size954 KiB
Number of Files1
Target File!!!!!REALFINAL-COMINGBACKFROMIEEE.pdf
Last Update2006:08.24.20.48.06 sid.inpe.br/banon/2001/03.30.15.38 administrator
Metadata Last Update2020:02.19.03.17.49 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2006}
Document Stagecompleted
Is the master or a copy?is the master
User Groupbanon administrator
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
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History2006-08-30 21:51:59 :: banon -> administrator ::
2009-08-13 20:38:16 :: administrator -> banon ::
2010-08-28 20:02:26 :: banon -> administrator ::
2020-02-19 03:17:49 :: administrator -> :: 2006
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Access Date2020, Nov. 27

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