Spatio-temporal filtering of indirect lighting for interactive global illumination

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

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)189-201
期刊Computer Graphics Forum
出版狀態已發佈 - 2012 2月

ASJC Scopus subject areas

  • 電腦繪圖與電腦輔助設計


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