Interactive VPL-based global illumination on the GPU using fuzzy clustering

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• dc.contributor.author Colom, Arnau
• dc.contributor.author Marques, Ricardo
• dc.contributor.author Santos, Luís Paulo
• dc.date.accessioned 2023-03-15T14:15:37Z
• dc.date.available 2023-03-15T14:15:37Z
• dc.date.issued 2022
• dc.description.abstract Physically-based synthesis of high quality imagery, including global illumination light transport phenomena, results in a significant workload, which makes interactive rendering a very challenging task. We propose a VPL-based ray tracing approach that runs entirely in the GPU and achieves interactive frame rates while handling global illumination light transport phenomena. This approach is based on clustering both shading points and VPLs and computing visibility only among clusters’ representatives. A new massively parallel K-means clustering algorithm, enables efficient execution in the GPU. Rendering artifacts, that could result from the piecewise constant approximation of the VPLs/shading points visibility function introduced by the clustering, are smoothed away by resorting to an innovative approach based on fuzzy clustering and weighted interpolation of the visibility function. The effectiveness of the proposed approach is experimentally verified for a collection of scenes, with frame rates larger than 3 fps and up to 25 fps being demonstrated.
• dc.description.sponsorship As Serra Húnter Fellow, Ricardo Marques acknowledges the support of the Serra Húnter Programme. This work is partially funded by TIN2018-095232-B-C21, MUSAE Horizon Europe project (#101070421) and CERCA Programme/Generalitat de Catalunya. This work is financed by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project LA/P/0063/2020. Arnau Colom and Ricardo Marques acknowledge the support of the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 856879 (Present Project).
• dc.format.mimetype application/pdf
• dc.identifier.citation Colom A; Marques R, Santos LP. Interactive VPL-based global illumination on the GPU using fuzzy clustering. Comput Graph. 2022;108:74-85. DOI: 10.1016/j.cag.2022.09.008
• dc.identifier.doi http://dx.doi.org/10.1016/j.cag.2022.09.008
• dc.identifier.issn 0097-8493
• dc.identifier.uri http://hdl.handle.net/10230/56241
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Computers & Graphics. 2022;108:74-85.
• dc.relation.isreferencedby https://ars.els-cdn.com/content/image/1-s2.0-S0097849322001753-mmc1.pdf
• dc.relation.isreferencedby https://ars.els-cdn.com/content/image/1-s2.0-S0097849322001753-mmc2.mp4
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/856879
• dc.relation.projectID info:eu-repo/grantAgreement/EC/HORIZON/101070421
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/TIN2018-095232-B-C21
• dc.rights © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Ray tracing
• dc.subject.keyword Global illumination
• dc.subject.keyword Interactive rendering
• dc.subject.keyword GPU
• dc.title Interactive VPL-based global illumination on the GPU using fuzzy clustering
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion