No Cover Image

Journal article 673 views

Progressive photon relaxation / Mark, Jones

ACM Transactions on Graphics, Volume: 32, Issue: 1, Pages: 1 - 11

Swansea University Author: Mark, Jones

Full text not available from this repository: check for access using links below.

Abstract

We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this...

Full description

Published in: ACM Transactions on Graphics
ISSN: 0730-0301
Published: 2013
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa14350
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-07-23T12:12:06Z
last_indexed 2018-02-09T04:45:43Z
id cronfa14350
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2015-07-08T13:39:59.4420646</datestamp><bib-version>v2</bib-version><id>14350</id><entry>2013-02-20</entry><title>Progressive photon relaxation</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>2013-02-20</date><deptcode>SCS</deptcode><abstract>We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this information can be used to guide a relaxation step with the goal of enforcing a constant, per-photon flux. Using a reformulation of the radiance estimate, we demonstrate how the resulting blue noise photon distribution yields a radiance reconstruction in which error is significantly reduced. Our approach has an open-ended runtime of the same order as unbiased and asymptotically consistent rendering methods, converging over time to a stable result. We demonstrate its effectiveness at storing caustic illumination within a view-independent framework and at a fidelity visually comparable to reference images rendered using progressive photon mapping.</abstract><type>Journal Article</type><journal>ACM Transactions on Graphics</journal><volume>32</volume><journalNumber>1</journalNumber><paginationStart>1</paginationStart><paginationEnd>11</paginationEnd><publisher/><issnPrint>0730-0301</issnPrint><issnElectronic/><keywords/><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2013</publishedYear><publishedDate>2013-01-01</publishedDate><doi>10.1145/2421636.2421643</doi><url/><notes></notes><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><lastEdited>2015-07-08T13:39:59.4420646</lastEdited><Created>2013-02-20T11:19:15.5853796</Created><path><level id="1">College of Science</level><level id="2">Computer Science</level></path><authors><author><firstname>Ben</firstname><surname>Spencer</surname><order>1</order></author><author><firstname>Mark</firstname><surname>Jones</surname><orcid>0000-0001-8991-1190</orcid><order>2</order></author></authors><documents/></rfc1807>
spelling 2015-07-08T13:39:59.4420646 v2 14350 2013-02-20 Progressive photon relaxation 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 2013-02-20 SCS We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this information can be used to guide a relaxation step with the goal of enforcing a constant, per-photon flux. Using a reformulation of the radiance estimate, we demonstrate how the resulting blue noise photon distribution yields a radiance reconstruction in which error is significantly reduced. Our approach has an open-ended runtime of the same order as unbiased and asymptotically consistent rendering methods, converging over time to a stable result. We demonstrate its effectiveness at storing caustic illumination within a view-independent framework and at a fidelity visually comparable to reference images rendered using progressive photon mapping. Journal Article ACM Transactions on Graphics 32 1 1 11 0730-0301 1 1 2013 2013-01-01 10.1145/2421636.2421643 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2015-07-08T13:39:59.4420646 2013-02-20T11:19:15.5853796 College of Science Computer Science Ben Spencer 1 Mark Jones 0000-0001-8991-1190 2
title Progressive photon relaxation
spellingShingle Progressive photon relaxation
Mark, Jones
title_short Progressive photon relaxation
title_full Progressive photon relaxation
title_fullStr Progressive photon relaxation
title_full_unstemmed Progressive photon relaxation
title_sort Progressive photon relaxation
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark, Jones
author Mark, Jones
format Journal article
container_title ACM Transactions on Graphics
container_volume 32
container_issue 1
container_start_page 1
publishDate 2013
institution Swansea University
issn 0730-0301
doi_str_mv 10.1145/2421636.2421643
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 0
description We introduce a novel algorithm for progressively removing noise from view-independent photon maps while simultaneously minimizing residual bias. Our method refines a primal set of photons using data from multiple successive passes to estimate the incident flux local to each photon. We show how this information can be used to guide a relaxation step with the goal of enforcing a constant, per-photon flux. Using a reformulation of the radiance estimate, we demonstrate how the resulting blue noise photon distribution yields a radiance reconstruction in which error is significantly reduced. Our approach has an open-ended runtime of the same order as unbiased and asymptotically consistent rendering methods, converging over time to a stable result. We demonstrate its effectiveness at storing caustic illumination within a view-independent framework and at a fidelity visually comparable to reference images rendered using progressive photon mapping.
published_date 2013-01-01T03:26:52Z
_version_ 1650508549712773120
score 10.867705