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Hierarchical Monte Carlo Image Synthesis

  • A fundamental variance reduction technique for Monte Carlo integration in the framework of integro-approximation problems is presented. Using the method of dependent tests a successive hierarchical function approximation algorithm is developed, which captures discontinuities and exploits smoothness in the target function. The general mathematical scheme and its highly efficient implementation are illustrated for image generation by ray tracing, yielding new and much faster image synthesis algorithms.

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Metadaten
Author:Alexander Keller
URN (permanent link):urn:nbn:de:hbz:386-kluedo-49624
Serie (Series number):Interner Bericht des Fachbereich Informatik (298)
Document Type:Report
Language of publication:English
Publication Date:2017/10/26
Year of Publication:1999
Publishing Institute:Technische Universität Kaiserslautern
Date of the Publication (Server):2017/10/26
Number of page:8
Faculties / Organisational entities:Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Creative Commons 4.0 - Namensnennung, nicht kommerziell, keine Bearbeitung (CC BY-NC-ND 4.0)