Campus Event Calendar
Event Entry
New for: D3
What and Who
Hierarchical Monte Carlo Image Synthesis
Alexander Keller
Department of Computer Science, University of Kaiserslautern
Talk
AG 1, AG 2, AG 3, AG 4
AG Audience
-- Not specified --
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Date, Time and Location
Monday, 27 September 99
11:00
-- Not specified --
MPII
022
Saarbrücken
Abstract
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.
Contact
Stefan Brabec
+49 681 9325-428
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Tags, Category, Keywords and additional notes
Monte Carlo Integration; Rendering; Computer Graphics