Geometric Sample Reweighting for Monte Carlo Integration
نویسندگان
چکیده
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 an unknown one-dimensional function. Our method simple to implement builds upon insight link weights function reconstruction process during integration. provide proof that our solution unbiased cases consistent multi-dimensional cases. illustrate its effectiveness several use
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ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2021
ISSN: ['1467-8659', '0167-7055']
DOI: https://doi.org/10.1111/cgf.14405