Path Space Markov Chain Monte Carlo Methods in Computer Graphics

DOI10.1007/978-3-319-33507-0_4zbMath1356.65066OpenAlexW2494349947MaRDI QIDQ2957027

Wenzel Jakob

Publication date: 20 January 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-33507-0_4

zbMATH Keywords

computer graphicspath spaceMarkov chain Monte Carlo methodsgraphical examplesrendering algorithmspecular manifold

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Numerical analysis or methods applied to Markov chains (65C40)

Uses Software

• MersenneTwister
• Mitsuba

Cites Work

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• On solving integral equations using Markov chain Monte Carlo methods
• Quasi-Monte Carlo Image Synthesis in a Nutshell
• Mersenne twister
• Multiplexed metropolis light transport
• The natural-constraint representation of the path space for efficient light transport simulation
• Gradient-domain metropolis light transport
• Enumerating Quasi-Monte Carlo Point Sequences in Elementary Intervals

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