Importance of Multi-modal Reflection Data for Predictive Rendering

Simple item page
dc.contributor.authorClausen, Olafen_US
dc.contributor.authorChen, Yangen_US
dc.contributor.authorFuhrmann, Arnulphen_US
dc.contributor.authorMarroquim, Ricardoen_US
dc.contributor.editorHardeberg, Jon Yngveen_US
dc.contributor.editorRushmeier, Hollyen_US
dc.date.accessioned2024-08-28T06:32:09Z
dc.date.available2024-08-28T06:32:09Z
dc.date.issued2024
dc.description.abstractAccurate modeling of material appearance is crucial for achieving predictive rendering. To improve reflection models, databases with measured reflection behaviors of various material and surface types are of great importance. However, current databases provide limited information, focusing either on the spectral or spatial domain and often lack microgeometry details. To address this limitation, a multi-modal database that includes reflection behavior in both spectral and spatial domains, along with comprehensive microgeometry information, is essential. Additionally, scatter information simulated with microgeometry enhances the understanding of light-matter interactions. This paper discusses the importance of multi-modal reflection data in developing more realistic and computationally efficient reflection models for predictive rendering.en_US
dc.description.sectionheadersRepresentation / Capture / Wave Optics
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.description.seriesinformationJoint MAM - MANER Conference - Material Appearance Network for Education and Research
dc.identifier.doi10.2312/mam.20241182
dc.identifier.isbn978-3-03868-264-6
dc.identifier.issn2309-5059
dc.identifier.pages4 pages
dc.identifier.urihttps://doi.org/10.2312/mam.20241182
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/mam20241182
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Reflectance modeling; Applied computing → Physics
dc.subjectComputing methodologies → Reflectance modeling
dc.subjectApplied computing → Physics
dc.titleImportance of Multi-modal Reflection Data for Predictive Renderingen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
mam20241182.pdf
Size:
13.16 MB
Format:
Adobe Portable Document Format
Download
Collections
MAM2024 - MANER Conference London 2024