Spatio-Temporal Filtering of Indirect Lighting for Interactive Global Illumination

dc.contributor.authorChen, Ying-Chiehen_US
dc.contributor.authorLei, Su Ian Eugeneen_US
dc.contributor.authorChang, Chun-Faen_US
dc.contributor.editorHolly Rushmeier and Oliver Deussenen_US
dc.date.accessioned2015-02-28T08:25:31Z
dc.date.available2015-02-28T08:25:31Z
dc.date.issued2012en_US
dc.description.abstractWe 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.en_US
dc.description.number1
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume31
dc.identifier.doi10.1111/j.1467-8659.2012.02094.x
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2012.02094.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleSpatio-Temporal Filtering of Indirect Lighting for Interactive Global Illuminationen_US
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