Spatio-temporal filtering of indirect lighting for interactive global illumination

Ying Chieh Chen, Su Ian Eugene Lei, Chun Fa Chang

研究成果: 雜誌貢獻文章

1 引文 斯高帕斯(Scopus)

摘要

We introduce a screen-space statistical filtering method for real-time rendering with global illumination. It is inspired by statistical filtering proposed by Meyer et al. to reduce the noise in global illumination over a period of time by estimating the principal components from all rendered frames. Our work extends their method to achieve nearly real-time performance on modern GPUs. More specifically, our method employs the candid covariancefree incremental PCA to overcome several limitations of the original algorithm by Meyer et al., such as its high computational cost and memory usage that hinders its implementation on GPUs. By combining the reprojection and per-pixel weighting techniques, our method handles the view changes and object movement in dynamic scenes as well.

原文英語
頁(從 - 到)189-201
頁數13
期刊Computer Graphics Forum
31
發行號1
DOIs
出版狀態已發佈 - 2012 二月

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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