A Monte Carlo method for accelerating the computation of animated radiosity sequences
dc.contributor.author
dc.date.accessioned
2010-09-28T12:07:01Z
dc.date.available
2010-08-10T09:04:23Z
2010-09-28T12:07:01Z
dc.date.issued
2001
dc.identifier.citation
Besuievsky, G., i Pueyo, X. (2001). A Monte Carlo method for accelerating the computation of animated radiosity sequences. Proceedings of Computer Graphics International : 2001, 201 - 208. Recuperat 28 setembre 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=934675
dc.identifier.isbn
0-7695-1007-8
dc.identifier.uri
dc.description.abstract
Realistic rendering animation is known to be an expensive processing task when physically-based global illumination methods are used in order to improve illumination details. This paper presents an acceleration technique to compute animations in radiosity environments. The technique is based on an interpolated approach that exploits temporal coherence in radiosity. A fast global Monte Carlo pre-processing step is introduced to the whole computation of the animated sequence to select important frames. These are fully computed and used as a base for the interpolation of all the sequence. The approach is completely view-independent. Once the illumination is computed, it can be visualized by any animated camera. Results present significant high speed-ups showing that the technique could be an interesting alternative to deterministic methods for computing non-interactive radiosity animations for moderately complex scenarios
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application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/CGI.2001.934675
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© Proceedings of Computer Graphics International : 2001, 2001, p. 201-208
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Articles publicats (D-IMA)
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Tots els drets reservats
dc.subject
dc.title
A Monte Carlo method for accelerating the computation of animated radiosity sequences
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi