Journal article 1363 views
Photon Parameterisation for Robust Relaxation Constraints
Computer Graphics Forum, Volume: 32, Issue: 2pt1, Pages: 83 - 92
Swansea University Author: Mark Jones
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DOI (Published version): 10.1111/cgf.12028
Abstract
This paper presents a novel approach to detecting and preserving fine illumination structure within photon maps. Data derived from each photon's primal trajectory is encoded and used to build a high-dimensional kd-tree. Incorporation of these new parameters allows for precise differentiation be...
Published in: | Computer Graphics Forum |
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ISSN: | 0167-7055 |
Published: |
2013
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URI: | https://cronfa.swan.ac.uk/Record/cronfa14358 |
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2019-06-21T13:18:45Z |
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<?xml version="1.0"?><rfc1807><datestamp>2019-06-21T12:28:26.4947171</datestamp><bib-version>v2</bib-version><id>14358</id><entry>2013-02-21</entry><title>Photon Parameterisation for Robust Relaxation Constraints</title><swanseaauthors><author><sid>2e1030b6e14fc9debd5d5ae7cc335562</sid><ORCID>0000-0001-8991-1190</ORCID><firstname>Mark</firstname><surname>Jones</surname><name>Mark Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-02-21</date><deptcode>SCS</deptcode><abstract>This paper presents a novel approach to detecting and preserving fine illumination structure within photon maps. Data derived from each photon's primal trajectory is encoded and used to build a high-dimensional kd-tree. Incorporation of these new parameters allows for precise differentiation between intersecting ray envelopes, thus minimizing detail degradation when combined with photon relaxation. We demonstrate how parameter-aware querying is beneficial in both detecting and removing noise. We also propose a more robust structure descriptor based on principal components analysis that better identifies anisotropic detail at the sub-kernel level. We illustrate the effectiveness of our approach in several example scenes and show significant improvements when rendering complex caustics compared to previous methods.</abstract><type>Journal Article</type><journal>Computer Graphics Forum</journal><volume>32</volume><journalNumber>2pt1</journalNumber><paginationStart>83</paginationStart><paginationEnd>92</paginationEnd><publisher/><issnPrint>0167-7055</issnPrint><keywords/><publishedDay>7</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2013</publishedYear><publishedDate>2013-05-07</publishedDate><doi>10.1111/cgf.12028</doi><url/><notes></notes><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><degreesponsorsfunders>RCUK, EP/I031243/1</degreesponsorsfunders><apcterm/><lastEdited>2019-06-21T12:28:26.4947171</lastEdited><Created>2013-02-21T15:22:39.0547616</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>B</firstname><surname>Spencer</surname><order>1</order></author><author><firstname>M.W</firstname><surname>Jones</surname><order>2</order></author><author><firstname>Mark</firstname><surname>Jones</surname><orcid>0000-0001-8991-1190</orcid><order>3</order></author></authors><documents/><OutputDurs/></rfc1807> |
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2019-06-21T12:28:26.4947171 v2 14358 2013-02-21 Photon Parameterisation for Robust Relaxation Constraints 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2013-02-21 SCS This paper presents a novel approach to detecting and preserving fine illumination structure within photon maps. Data derived from each photon's primal trajectory is encoded and used to build a high-dimensional kd-tree. Incorporation of these new parameters allows for precise differentiation between intersecting ray envelopes, thus minimizing detail degradation when combined with photon relaxation. We demonstrate how parameter-aware querying is beneficial in both detecting and removing noise. We also propose a more robust structure descriptor based on principal components analysis that better identifies anisotropic detail at the sub-kernel level. We illustrate the effectiveness of our approach in several example scenes and show significant improvements when rendering complex caustics compared to previous methods. Journal Article Computer Graphics Forum 32 2pt1 83 92 0167-7055 7 5 2013 2013-05-07 10.1111/cgf.12028 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University RCUK, EP/I031243/1 2019-06-21T12:28:26.4947171 2013-02-21T15:22:39.0547616 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science B Spencer 1 M.W Jones 2 Mark Jones 0000-0001-8991-1190 3 |
title |
Photon Parameterisation for Robust Relaxation Constraints |
spellingShingle |
Photon Parameterisation for Robust Relaxation Constraints Mark Jones |
title_short |
Photon Parameterisation for Robust Relaxation Constraints |
title_full |
Photon Parameterisation for Robust Relaxation Constraints |
title_fullStr |
Photon Parameterisation for Robust Relaxation Constraints |
title_full_unstemmed |
Photon Parameterisation for Robust Relaxation Constraints |
title_sort |
Photon Parameterisation for Robust Relaxation Constraints |
author_id_str_mv |
2e1030b6e14fc9debd5d5ae7cc335562 |
author_id_fullname_str_mv |
2e1030b6e14fc9debd5d5ae7cc335562_***_Mark Jones |
author |
Mark Jones |
author2 |
B Spencer M.W Jones Mark Jones |
format |
Journal article |
container_title |
Computer Graphics Forum |
container_volume |
32 |
container_issue |
2pt1 |
container_start_page |
83 |
publishDate |
2013 |
institution |
Swansea University |
issn |
0167-7055 |
doi_str_mv |
10.1111/cgf.12028 |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
document_store_str |
0 |
active_str |
0 |
description |
This paper presents a novel approach to detecting and preserving fine illumination structure within photon maps. Data derived from each photon's primal trajectory is encoded and used to build a high-dimensional kd-tree. Incorporation of these new parameters allows for precise differentiation between intersecting ray envelopes, thus minimizing detail degradation when combined with photon relaxation. We demonstrate how parameter-aware querying is beneficial in both detecting and removing noise. We also propose a more robust structure descriptor based on principal components analysis that better identifies anisotropic detail at the sub-kernel level. We illustrate the effectiveness of our approach in several example scenes and show significant improvements when rendering complex caustics compared to previous methods. |
published_date |
2013-05-07T03:16:28Z |
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1763750328604295168 |
score |
11.016235 |