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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Author:Alexander Keller
Series (Serial Number):Interner Bericht des Fachbereich Informatik (298)
Document Type:Report
Language of publication:English
Date of Publication (online):2017/10/26
Year of first Publication:1999
Publishing Institution:Technische Universit├Ąt Kaiserslautern
Date of the Publication (Server):2017/10/26
Page Number:8
Faculties / Organisational entities:Kaiserslautern - 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)