Title: A Hierarchical Automatic Stopping Condition for Monte Carlo Global Illumination
Authors: Dammertz, Holger
Hanika, Johannes
Keller, Alexander
Lensch, Hendrik P. A.
Citation: WSCG 2010: Full Papers Proceedings: 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS, p. 159-164.
Issue Date: 2010
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_FULL-proceedings.pdf
ISBN: 978-80-86943-88-6
Keywords: Monte Carlo;globální osvětlení;syntéza obrazu
Keywords in different language: Monte Carlo;global illumination;image synthesis
Abstract: We introduce a hierarchical image-space method to robustly terminate computations in Monte Carlo image synthesis, independent of image resolution. The technique consists of a robust convergence measure on blocks which are either recursively subdivided or terminated independently, using a criterion which separates signal and noise based on integral estimates from two separate sample sets. The technique can be easily implemented, as the evaluation of the error measure only requires a second framebuffer and a list of non-terminated blocks. Based on the stopping criterion, one can furthermore sample both the image plane as well as the light sources adaptively. Adaptive sampling reduces the number of samples required to gain the same root mean square error to one quarter in some of our test cases.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2010: Full Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/10849

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