Geometric Sample Reweighting for Monte Carlo Integration

Journal Article (2021)
Author(s)

Jerry Guo (TU Delft - Computer Graphics and Visualisation)

E. Eisemann (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
Copyright
© 2021 Jerry Jinfeng Guo, E. Eisemann
DOI related publication
https://doi.org/10.1111/cgf.14405
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Jerry Jinfeng Guo, E. Eisemann
Related content
Research Group
Computer Graphics and Visualisation
Issue number
7
Volume number
40
Pages (from-to)
109-119
Reuse Rights

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Abstract

Numerical integration is fundamental in multiple Monte Carlo rendering problems. We present a sample reweighting scheme, including underlying theory, and analysis of numerical performance for the integration of an unknown one-dimensional function. Our method is simple to implement and builds upon the insight to link the weights to a function reconstruction process during integration. We provide proof that our solution is unbiased in one-dimensional cases and consistent in multi-dimensional cases. We illustrate its effectiveness in several use cases.

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