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Photon Parameterisation for Robust Relaxation Constraints / B Spencer; M.W Jones

Computer Graphics Forum, Volume: 32, Issue: 2pt1, Pages: 83 - 92

Swansea University Author: Jones, Mark

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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...

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Published in: Computer Graphics Forum
ISSN: 0167-7055
Published: 2013
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa14358
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first_indexed 2013-07-23T12:12:06Z
last_indexed 2019-06-21T13:18:45Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-06-21T12:28:26Z</datestamp><bib-version>v2</bib-version><id>14358</id><entry>2013-02-21</entry><title>Photon Parameterisation for Robust Relaxation Constraints</title><alternativeTitle></alternativeTitle><author>Mark Jones</author><firstname>Mark</firstname><surname>Jones</surname><active>true</active><ORCID>0000-0001-8991-1190</ORCID><ethesisStudent>false</ethesisStudent><sid>2e1030b6e14fc9debd5d5ae7cc335562</sid><email>dda0c29127c698255a4c2b822dd94125</email><emailaddr>uiPdnV+XNibOpUxFjI3lXQgr5y2nBRz3haj4DmVVDsQ=</emailaddr><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></publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0167-7055</issnPrint><issnElectronic/><keywords></keywords><publishedDay>7</publishedDay><publishedMonth>5</publishedMonth><publishedYear>2013</publishedYear><publishedDate>2013-05-07</publishedDate><doi>10.1111/cgf.12028</doi><url></url><notes></notes><college>College of Science</college><department>Computer Science</department><CollegeCode>CSCI</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution/><researchGroup>Visual Computing</researchGroup><supervisor/><sponsorsfunders>RCUK, EP/I031243/1</sponsorsfunders><grantnumber/><degreelevel/><degreename>None</degreename><lastEdited>2019-06-21T12:28:26Z</lastEdited><Created>2013-02-21T15:22:39Z</Created><path><level id="1">College of Science</level><level id="2">Computer Science</level></path><authors><author><firstname>B</firstname><surname>Spencer</surname><orcid/><order>1</order></author><author><firstname>M.W</firstname><surname>Jones</surname><orcid/><order>2</order></author></authors><documents/></rfc1807>
spelling 2019-06-21T12:28:26Z v2 14358 2013-02-21 Photon Parameterisation for Robust Relaxation Constraints Mark Jones Mark Jones true 0000-0001-8991-1190 false 2e1030b6e14fc9debd5d5ae7cc335562 dda0c29127c698255a4c2b822dd94125 uiPdnV+XNibOpUxFjI3lXQgr5y2nBRz3haj4DmVVDsQ= 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 of Science Computer Science CSCI SCS Visual Computing RCUK, EP/I031243/1 None 2019-06-21T12:28:26Z 2013-02-21T15:22:39Z College of Science Computer Science B Spencer 1 M.W Jones 2
title Photon Parameterisation for Robust Relaxation Constraints
spellingShingle Photon Parameterisation for Robust Relaxation Constraints
Jones, Mark
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_***_Jones, Mark
author Jones, Mark
author2 B Spencer
M.W 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 College of Science
hierarchytype
hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Computer Science{{{_:::_}}}College of Science{{{_:::_}}}Computer Science
document_store_str 0
active_str 1
researchgroup_str Visual Computing
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 2013-05-07T20:14:51Z
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score 10.859247