Spatio-temporal filtering of indirect lighting for interactive global illumination

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

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)189-201
Number of pages13
JournalComputer Graphics Forum
Volume31
Issue number1
DOIs
Publication statusPublished - 2012 Feb

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Keywords

  • Global illumination
  • Real-time rendering
  • Statistical filtering

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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