Spatio-Temporal Filtering of Indirect Lighting for Interactive Global Illumination

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...

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Bibliographic Details
Published in:Computer graphics forum 2012-02, Vol.31 (1), p.189-201
Main Authors: Chen, Ying-Chieh, Lei, Su Ian Eugene, Chang, Chun-Fa
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Computational efficiency
Computer graphics
Filtering
Filtration
global illumination
global illumination, real‐time rendering, statistical filtering
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Raytracing
Illumination
Image processing systems
Interactive
Real time
real-time rendering
Rendering
statistical filtering
Studies
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Summary: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 covariance‐free 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.
ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.02094.x