Random walk radiosity with generalized absorption probabilities

The author studies random walk estimators for radiosity with generalized absorption probabilities. That is, a path will either die or survive on a patch according to an arbitrary probability. The estimators studied so far, the infinite path length estimator and finite path length one, can be conside...

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Detalles Bibliográficos
Autor: Sbert, Mateu
Tipo de documento: Artículo
Fecha de publicación:1998
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/3069
Acceso en línea:http://hdl.handle.net/10256/3069
Nivel de acceso:Acceso abierto
Palabra clave:Montecarlo, Mètode de
Probabilitats
Rutes aleatòries (Matemàtica)
Monte Carlo method
Probabilities
Random walks
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author Sbert, Mateu
author_browse Sbert, Mateu
author_facet Sbert, Mateu
author_role author
collection Recercat. Dipósit de la Recerca de Catalunya
description The author studies random walk estimators for radiosity with generalized absorption probabilities. That is, a path will either die or survive on a patch according to an arbitrary probability. The estimators studied so far, the infinite path length estimator and finite path length one, can be considered as particular cases. Practical applications of the random walks with generalized probabilities are given. A necessary and sufficient condition for the existence of the variance is given, together with heuristics to be used in practical cases. The optimal probabilities are also found for the case when one is interested in the whole scene, and are equal to the reflectivities
eu_rights_str_mv openAccess
format article
id ES_82df13f31f00d3acb97d4017b1f70dc3
institution Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
network_acronym_str ES
network_name_str España
oai_identifier_str oai:recercat.cat:10256/3069
publishDate 1998
publishDateSort 1998
publisher IEEE
publisherStr IEEE
reponame_str Recercat. Dipósit de la Recerca de Catalunya
spelling Random walk radiosity with generalized absorption probabilities Sbert, Mateu Montecarlo, Mètode de Probabilitats Rutes aleatòries (Matemàtica) Monte Carlo method Probabilities Random walks The author studies random walk estimators for radiosity with generalized absorption probabilities. That is, a path will either die or survive on a patch according to an arbitrary probability. The estimators studied so far, the infinite path length estimator and finite path length one, can be considered as particular cases. Practical applications of the random walks with generalized probabilities are given. A necessary and sufficient condition for the existence of the variance is given, together with heuristics to be used in practical cases. The optimal probabilities are also found for the case when one is interested in the whole scene, and are equal to the reflectivities IEEE http://hdl.handle.net/10256/3069
spellingShingle Random walk radiosity with generalized absorption probabilities
Sbert, Mateu
Montecarlo, Mètode de
Probabilitats
Rutes aleatòries (Matemàtica)
Monte Carlo method
Probabilities
Random walks
title Random walk radiosity with generalized absorption probabilities
title_full Random walk radiosity with generalized absorption probabilities
title_fullStr Random walk radiosity with generalized absorption probabilities
title_full_unstemmed Random walk radiosity with generalized absorption probabilities
title_short Random walk radiosity with generalized absorption probabilities
title_sort Random walk radiosity with generalized absorption probabilities
topic Montecarlo, Mètode de
Probabilitats
Rutes aleatòries (Matemàtica)
Monte Carlo method
Probabilities
Random walks
topic_facet Montecarlo, Mètode de
Probabilitats
Rutes aleatòries (Matemàtica)
Monte Carlo method
Probabilities
Random walks
url http://hdl.handle.net/10256/3069