Please use this identifier to cite or link to this item:
https://dspace.crs4.it/jspui/handle/1138/52
DC Field | Value | Language |
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dc.contributor.author | Pintus, Ruggero | en_US |
dc.contributor.author | Ahsan, Moonisa | en_US |
dc.contributor.author | Zorcolo, Antonio | en_US |
dc.contributor.author | Bettio, Fabio | en_US |
dc.contributor.author | Marton, Fabio | en_US |
dc.contributor.author | Gobbetti, Enrico | en_US |
dc.date.accessioned | 2023-06-01T07:23:55Z | - |
dc.date.available | 2023-06-01T07:23:55Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://dspace.crs4.it/jspui/handle/1138/52 | - |
dc.description.abstract | We present a practical solution to create a relightable model from small Multi-light Image Collections (MLICs) acquired using standard acquisition pipelines. The approach targets the difficult but very common situation in which the optical behavior of a flat, but visually and geometrically rich object, such as a painting or a bas relief, is measured using a fixed camera taking a limited number of images with a different local illumination. By exploiting information from neighboring pixels through a carefully-crafted weighting and regularization scheme, we are able to efficiently infer subtle and visually pleasing per-pixel analytical Bidirectional Reflectance Distribution Functions (BRDFs) representations from few per-pixel samples. The method has a low memory footprint and is easily parallelizabile. We qualitatively and quantitatively evaluated it on both synthetic and real data in the scope of image-based relighting applications. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ACM | en_US |
dc.relation | Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication | en_US |
dc.relation | vigeclab | en_US |
dc.relation | svdc | en_US |
dc.subject | visual computing | en_US |
dc.title | Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image Collections | en_US |
dc.type | journal article | en_US |
dc.identifier.doi | 10.1145/3593428 | - |
dc.contributor.affiliation | Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy | en_US |
dc.contributor.affiliation | Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy | en_US |
dc.contributor.affiliation | Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy | en_US |
dc.contributor.affiliation | Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy | en_US |
dc.contributor.affiliation | Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy | en_US |
dc.contributor.affiliation | Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy | en_US |
dc.relation.grantno | 813170 | en_US |
dc.relation.grantno | RAS art 9 L.R. 20/2015 | en_US |
dc.relation.grantno | RAS art 9 L.R. 20/2015 | en_US |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | open | - |
item.openairetype | journal article | - |
crisitem.author.orcid | 0000-0003-1786-7068 | - |
crisitem.author.orcid | 0000-0001-7318-6377 | - |
crisitem.author.orcid | 0000-0001-8611-1921 | - |
crisitem.author.orcid | 0000-0003-0831-2458 | - |
crisitem.project.funder | EC | - |
crisitem.project.projectURL | www.evocation.eu | - |
crisitem.project.fundingProgram | H2020 | - |
crisitem.project.openAire | info:eu-repo/grantAgreement/EC/H2020/813170 | - |
Appears in Collections: | CRS4 publications |
Files in This Item:
File | Description | Size | Format | |
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jocch2022-svbrdf.pdf | Green open access manuscript | 24,67 MB | Adobe PDF | View/Open |
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