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Improved Irradiance Computation by Importance Sampling

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Rendering Techniques ’97 (EGSR 1997)

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

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Abstract

In this paper we consider the task of refining a low-resolution radiosity solution by using final gather. This final gather can be done by using Monte-Carlo methods. We show how to built an adequate probability density function (pdf) such that the involved variance is greatly reduced and thus we can reduce the number of samples to take, keeping the error. The proposed pdf uses information gathered during the computation of low-resolution radiosity. This data includes an approximation to the distribution of irradiance landing on a patch and coming from other patches. Once this distribution is (approximately) known, we can use it to built an importance-based pdf for final gather, such that just a few tens of samples can be taken to accurately compute irradiance.

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Author information

Authors and Affiliations

  1. Departamento de Lenguajes y Sistemas Informáticos. E.T.S. de Ingeniería Informática, Universidad de Granada, E-18071, Granada, Spain

    C. Ureña & J. C. Torres

Authors
  1. C. Ureña
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  2. J. C. Torres
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Editor information

Editors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, MA, USA

    Julie Dorsey

  2. Computer Graphics Laboratory, University of Erlangen, Erlangen, Germany

    Philipp Slusallek

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© 1997 Springer-Verlag/Wien

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Ureña, C., Torres, J.C. (1997). Improved Irradiance Computation by Importance Sampling. In: Dorsey, J., Slusallek, P. (eds) Rendering Techniques ’97. EGSR 1997. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6858-5_25

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  • DOI: https://doi.org/10.1007/978-3-7091-6858-5_25

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83001-7

  • Online ISBN: 978-3-7091-6858-5

  • eBook Packages: Springer Book Archive

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