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Efficient product sampling using hierarchical thresholding

Författare:
  • Fabrice Rousselle
  • Petrik Clarberg
  • Luc Leblanc
  • Victor Ostromoukhov
  • Pierre Poulin
Publiceringsår: 2008
Språk: Engelska
Sidor: 465-474
Publikation/Tidskrift/Serie: Visual Computer
Volym: 24
Nummer: 7-9
Dokumenttyp: Artikel i tidskrift
Förlag: Springer

Sammanfattning

Abstract in Undetermined

We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on the fly, based on hierarchical representations of the local maxima and averages of the individual terms. Samples are generated by exploiting the hierarchical properties of many low-discrepancy sequences, and thresholded against the estimated product. We evaluate direct illumination by sampling the triple product of environment map lighting, surface reflectance, and a visibility function estimated per pixel. Our results show considerable noise reduction compared to existing state-of-the-art methods using only the product of lighting and BRDF.

Nyckelord

  • Computer Science
  • importance sampling
  • rejection sampling
  • multiple functions
  • ray tracing
  • visibility

Övriga

Published
  • Computer Graphics-lup-obsolete
  • ISSN: 0178-2789

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