Quantifying the Error of Light Transport Algorithms

dc.contributor.authorCelarek, Adamen_US
dc.contributor.authorJakob, Wenzelen_US
dc.contributor.authorWimmer, Michaelen_US
dc.contributor.authorLehtinen, Jaakkoen_US
dc.contributor.editorBoubekeur, Tamy and Sen, Pradeepen_US
dc.date.accessioned2019-07-14T19:24:33Z
dc.date.available2019-07-14T19:24:33Z
dc.date.issued2019
dc.description.abstractThis paper proposes a new methodology for measuring the error of unbiased physically based rendering algorithms. The current state of the art includes mean squared error (MSE) based metrics and visual comparisons of equal-time renderings of competing algorithms. Neither is satisfying as MSE does not describe behavior and can exhibit significant variance, and visual comparisons are inherently subjective. Our contribution is two-fold: First, we propose to compute many short renderings instead of a single long run and use the short renderings to estimate MSE expectation and variance as well as per-pixel standard deviation. An algorithm that achieves good results in most runs, but with occasional outliers is essentially unreliable, which we wish to quantify numerically. We use per-pixel standard deviation to identify problematic lighting effects of rendering algorithms. The second contribution is the error spectrum ensemble (ESE), a tool for measuring the distribution of error over frequencies. The ESE serves two purposes: It reveals correlation between pixels and can be used to detect outliers, which offset the amount of error substantially.en_US
dc.description.number4
dc.description.sectionheadersLight Transport
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13775
dc.identifier.issn1467-8659
dc.identifier.pages111-121
dc.identifier.urihttps://doi.org/10.1111/cgf.13775
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13775
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectRay tracing
dc.titleQuantifying the Error of Light Transport Algorithmsen_US
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