Gaussian process for radiance functions on the sphere

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• dc.contributor.author Marques, Ricardo
• dc.contributor.author Bouville, Christian
• dc.contributor.author Bouatouch, Kadi
• dc.date.accessioned 2025-11-18T06:40:46Z
• dc.date.available 2025-11-18T06:40:46Z
• dc.date.issued 2022
• dc.description.abstract Efficient approximation of incident radiance functions from a set of samples is still an open problem in physically based rendering. Indeed, most of the computing power required to synthesize a photo-realistic image is devoted to collecting samples of the incident radiance function, which are necessary to provide an estimate of the rendering equation solution. Due to the large number of samples required to reach a high-quality estimate, this process is usually tedious and can take up to several days. In this paper, we focus on the problem of approximation of incident radiance functions on the urn:x-wiley:01677055:media:cgf14501:cgf14501-math-0003 sphere. To this end, we resort to a Gaussian Process (GP), a highly flexible function modelling tool, which has received little attention in rendering. We make an extensive analysis of the application of GPs to incident radiance functions, addressing crucial issues such as robust hyperparameter learning, or selecting the covariance function which better suits incident radiance functions. Our analysis is both theoretical and experimental. Furthermore, it provides a seamless connection between the original spherical domain and the spectral domain, on which we build to derive a method for fast computation and rotation of spherical harmonics coefficients.en
• dc.description.sponsorship This work was partially funded by TIN2018-095232-B-C21, SGR-2017 1742 and CERCA Programme/Generalitat de Catalunya. We acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPUs. As Serra Húnter Fellow, Ricardo Marques acknowledges the support of the Serra Húnter Programme.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Marques R, Bouville C, Bouatouch K. Gaussian process for radiance functions on the sphere. Comput Graph Forum. 2022 Sep;41(6):67-81. DOI: 10.1111/cgf.14501
• dc.identifier.doi http://dx.doi.org/10.1111/cgf.14501
• dc.identifier.issn 0167-7055
• dc.identifier.uri http://hdl.handle.net/10230/71906
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof Computer Graphics Forum. 2022 Sep;41(6):67-81
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2018-095232-B-C21
• dc.rights © 2022 The Authors. Computer Graphics Forum published by Eurographics - The European Association for Computer Graphics and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Renderingen
• dc.subject.keyword Ray tracingen
• dc.subject.keyword Signal processingen
• dc.subject.keyword Methods and applicationsen
• dc.title Gaussian process for radiance functions on the sphereen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion