Importance of Multi-modal Reflection Data for Predictive Rendering

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Date
2024
Authors
Clausen, Olaf
Chen, Yang
Fuhrmann, Arnulph
Marroquim, Ricardo
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Accurate 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.
Description

CCS Concepts: Computing methodologies → Reflectance modeling; Applied computing → Physics

        
@inproceedings{
10.2312:mam.20241182
,
booktitle = {
Workshop on Material Appearance Modeling
Joint MAM - MANER Conference - Material Appearance Network for Education and Research
},
editor = {
Hardeberg, Jon Yngve
 and 
Rushmeier, Holly
},
title = {{
Importance of Multi-modal Reflection Data for Predictive Rendering
}},
author = {
Clausen, Olaf
 and 
Chen, Yang
 and 
Fuhrmann, Arnulph
 and 
Marroquim, Ricardo
},
year = {
2024
},
publisher = {
The Eurographics Association
},
ISSN = {
2309-5059
},
ISBN = {
978-3-03868-264-6
},
DOI = {
10.2312/mam.20241182
}
}

@inproceedings{
10.2312:mam.20241182
,
booktitle = {
Workshop on Material Appearance Modeling
Joint MAM - MANER Conference - Material Appearance Network for Education and Research
},
editor = {
Hardeberg, Jon Yngve
 and 
Rushmeier, Holly
},
title = {{
Importance of Multi-modal Reflection Data for Predictive Rendering
}},
author = {
Clausen, Olaf
 and 
Chen, Yang
 and 
Fuhrmann, Arnulph
 and 
Marroquim, Ricardo
},
year = {
2024
},
publisher = {
The Eurographics Association
},
ISSN = {
2309-5059
},
ISBN = {
978-3-03868-264-6
},
DOI = {
10.2312/mam.20241182
}
}
Citation
URI
https://doi.org/10.2312/mam.20241182
 https://diglib.eg.org/handle/10.2312/mam20241182
Collections
MAM2024 - MANER Conference London 2024