Quantifying the Error of Light Transport Algorithms
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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2019-07-01
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Mcode
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Language
en
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11
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Computer Graphics Forum, Volume 38, issue 4, pp. 111-121
Abstract
This 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.Description
Keywords
CCS Concepts, • Computing methodologies → Ray tracing
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Citation
Celarek, A, Jakob, W, Wimmer, M & Lehtinen, J 2019, 'Quantifying the Error of Light Transport Algorithms', Computer Graphics Forum, vol. 38, no. 4, pp. 111-121. https://doi.org/10.1111/cgf.13775