1998
DOI: 10.1007/978-3-7091-6453-2_24
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Hierarchical Monte Carlo Radiosity

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Cited by 29 publications
(22 citation statements)
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References 27 publications
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“…If a very dense mesh is used, the overall memory consumption of the algorithm and the computing time will raise dramatically as more lines are needed to avoid noise artifacts. For static images, this issue has been addressed using hierarchical approaches [61,62]. Such hierarchical methods have not been extended to the case of animated scenes yet.…”
Section: Multi-frame Lighting Methodsmentioning
confidence: 99%
“…If a very dense mesh is used, the overall memory consumption of the algorithm and the computing time will raise dramatically as more lines are needed to avoid noise artifacts. For static images, this issue has been addressed using hierarchical approaches [61,62]. Such hierarchical methods have not been extended to the case of animated scenes yet.…”
Section: Multi-frame Lighting Methodsmentioning
confidence: 99%
“…First uses of Monte Carlo methods in radiosity were proposed in References 22 and 23. Later improvements [24][25][26][27] show the usability of these kinds of approach as an alternative to deterministic methods. They provide a reliable form factor computation while no explicit storage of the form factor is needed.…”
Section: Global Monte Carlomentioning
confidence: 99%
“…More recently, Bekaert et al [1998] have presented an efficient algorithm that combines hierarchical and Monte Carlo radiosities. However, the stochastic nature of the algorithm makes it difficult to refine along shadow boundaries.…”
Section: Previous Workmentioning
confidence: 99%