A method for estimating the errors in many-light rendering with supersampling

Abstract In many-light rendering, a variety of visual and illumination effects, including anti-aliasing, depth of field, volumetric scattering, and subsurface scattering, are combined to create a number of virtual point lights (VPLs). This is done in order to simplify computation of the resulting il...

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Main Authors: Hirokazu Sakai, Kosuke Nabata, Shinya Yasuaki, Kei Iwasaki
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:Computational Visual Media
Subjects:
Online Access:http://link.springer.com/article/10.1007/s41095-019-0137-0
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author Hirokazu Sakai
Kosuke Nabata
Shinya Yasuaki
Kei Iwasaki
author_facet Hirokazu Sakai
Kosuke Nabata
Shinya Yasuaki
Kei Iwasaki
author_sort Hirokazu Sakai
collection DOAJ
description Abstract In many-light rendering, a variety of visual and illumination effects, including anti-aliasing, depth of field, volumetric scattering, and subsurface scattering, are combined to create a number of virtual point lights (VPLs). This is done in order to simplify computation of the resulting illumination. Naive approaches that sum the direct illumination from many VPLs are computationally expensive; scalable methods can be computed more efficiently by clustering VPLs, and then estimating their sum by sampling a small number of VPLs. Although significant speed-up has been achieved using scalable methods, clustering leads to uncontrollable errors, resulting in noise in the rendered images. In this paper, we propose a method to improve the estimation accuracy of many-light rendering involving such visual and illumination effects. We demonstrate that our method can improve the estimation accuracy by a factor of 2.3 over the previous method.
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spelling doaj.art-b60da7a0d834487ca2afd4d454d45c942022-12-22T00:02:09ZengSpringerOpenComputational Visual Media2096-04332096-06622019-04-015215116010.1007/s41095-019-0137-0A method for estimating the errors in many-light rendering with supersamplingHirokazu Sakai0Kosuke Nabata1Shinya Yasuaki2Kei Iwasaki3Wakayama University, WakayamaWakayama University, WakayamaWakayama University, WakayamaWakayama University, WakayamaAbstract In many-light rendering, a variety of visual and illumination effects, including anti-aliasing, depth of field, volumetric scattering, and subsurface scattering, are combined to create a number of virtual point lights (VPLs). This is done in order to simplify computation of the resulting illumination. Naive approaches that sum the direct illumination from many VPLs are computationally expensive; scalable methods can be computed more efficiently by clustering VPLs, and then estimating their sum by sampling a small number of VPLs. Although significant speed-up has been achieved using scalable methods, clustering leads to uncontrollable errors, resulting in noise in the rendered images. In this paper, we propose a method to improve the estimation accuracy of many-light rendering involving such visual and illumination effects. We demonstrate that our method can improve the estimation accuracy by a factor of 2.3 over the previous method.http://link.springer.com/article/10.1007/s41095-019-0137-0anti-aliasingdepth of fieldmany-light renderingparticipating media
spellingShingle Hirokazu Sakai
Kosuke Nabata
Shinya Yasuaki
Kei Iwasaki
A method for estimating the errors in many-light rendering with supersampling
Computational Visual Media
anti-aliasing
depth of field
many-light rendering
participating media
title A method for estimating the errors in many-light rendering with supersampling
title_full A method for estimating the errors in many-light rendering with supersampling
title_fullStr A method for estimating the errors in many-light rendering with supersampling
title_full_unstemmed A method for estimating the errors in many-light rendering with supersampling
title_short A method for estimating the errors in many-light rendering with supersampling
title_sort method for estimating the errors in many light rendering with supersampling
topic anti-aliasing
depth of field
many-light rendering
participating media
url http://link.springer.com/article/10.1007/s41095-019-0137-0
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