dc.contributor.author | Guarnera, Dar'ya | |
dc.contributor.author | Guarnera, Giuseppe Claudio | |
dc.contributor.author | Toscani, Matteo | |
dc.contributor.author | Glencross, Mashhuda | |
dc.contributor.author | Li, Baihua | |
dc.contributor.author | Hardeberg, Jon Yngve | |
dc.contributor.author | Gegenfurtner, Karl | |
dc.date.accessioned | 2019-03-12T09:27:06Z | |
dc.date.available | 2019-03-12T09:27:06Z | |
dc.date.created | 2019-01-16T16:42:47Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 978-1-4503-5820-0 | |
dc.identifier.uri | http://hdl.handle.net/11250/2589664 | |
dc.description.abstract | The need to manually match the appearance of a material in two or more different rendering tools is common in digital 3D product design, due to the wide range of tools and material models commonly used, and a lack of standards to exchange materials data. Since the effect of BRDF parameters on rendered images is non-uniform, visually matching to a reference is time consuming and error-prone. We present an automatic BRDF remapping technique to match the appearance of a source material model to a target, providing a mapping between their parameter spaces. Our framework, based on Genetic Algorithm optimization and an image space similarity metric, provides a faithful mapping among analytical BRDFs, even when the BRDF models are deeply different. Objective and perceptual evaluations confirm the efficacy of the framework. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Association for Computing Machinery (ACM) | nb_NO |
dc.relation.ispartof | ACM SIGGRAPH 2018 Talks | |
dc.title | Perceptually validated analytical BRDFs parameters remapping | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.identifier.doi | 10.1145/3214745.3214807 | |
dc.identifier.cristin | 1658654 | |
dc.description.localcode | © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions of Computing Education, http://dx.doi.org/10.1145/3214745.3214807 | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |