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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2019-04-01
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Series: | Computational Visual Media |
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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. |
first_indexed | 2024-12-13T02:47:05Z |
format | Article |
id | doaj.art-b60da7a0d834487ca2afd4d454d45c94 |
institution | Directory Open Access Journal |
issn | 2096-0433 2096-0662 |
language | English |
last_indexed | 2024-12-13T02:47:05Z |
publishDate | 2019-04-01 |
publisher | SpringerOpen |
record_format | Article |
series | Computational Visual Media |
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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