### Abstrakti

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.

Alkuperäiskieli | Englanti |
---|---|

Sivut | 111-121 |

Sivumäärä | 11 |

Julkaisu | Computer Graphics Forum |

Vuosikerta | 38 |

Numero | 4 |

DOI - pysyväislinkit | |

Tila | Julkaistu - 1 heinäkuuta 2019 |

OKM-julkaisutyyppi | A1 Julkaistu artikkeli, soviteltu |

## Sormenjälki Sukella tutkimusaiheisiin 'Quantifying the Error of Light Transport Algorithms'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

## Laitteet

## Siteeraa tätä

*Computer Graphics Forum*,

*38*(4), 111-121. https://doi.org/10.1111/cgf.13775