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Eurographics Workshop on Rendering Techniques

EGSR 1995: Rendering Techniques ’95 pp 231–239Cite as

Global Monte Carlo. A Progressive Solution

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Part of the book series: Eurographics ((EUROGRAPH))

Abstract

In this paper we review global Monte Carlo techniques for radiosity. A technique for progressively refining the solution in global Monte Carlo is presented, based in the classical statistical results on the expected value and variance of a weighted sum of independent random variables. The method is shown to work well also for the classic Monte Carlo methods. We finally show its usefulness in distributing the work over a workstations network.

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Author information

Authors and Affiliations

  1. Departament d’Informàtica i Matemàtica Aplicada, Universitat de Girona, Lluis Santaló s/n, E 17003, Girona, Spain

    Mateu Sbert, Frederic Pérez & Xavier Pueyo

Authors
  1. Mateu Sbert
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  2. Frederic Pérez
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  3. Xavier Pueyo
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Editor information

Editors and Affiliations

  1. Stanford University, Stanford, USA

    Patrick M. Hanrahan

  2. Institut für Computergraphik, Technische Universität Wien, Wien, Österreich

    Werner Purgathofer

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© 1995 Springer-Verlag/Wien

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Sbert, M., Pérez, F., Pueyo, X. (1995). Global Monte Carlo. A Progressive Solution. In: Hanrahan, P.M., Purgathofer, W. (eds) Rendering Techniques ’95. EGSR 1995. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-9430-0_22

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  • DOI: https://doi.org/10.1007/978-3-7091-9430-0_22

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82733-8

  • Online ISBN: 978-3-7091-9430-0

  • eBook Packages: Springer Book Archive

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