Real Surface Measurement and Virtual Gonioradiometer for Road Appearance Prediction
dc.contributor.author | Xu, Kewei | en_US |
dc.contributor.author | Ribardière, Mickaël | en_US |
dc.contributor.author | Bringier, Benjamin | en_US |
dc.contributor.author | Meneveaux, Daniel | en_US |
dc.contributor.editor | Hardeberg, Jon Yngve | en_US |
dc.contributor.editor | Rushmeier, Holly | en_US |
dc.date.accessioned | 2024-08-28T06:32:03Z | |
dc.date.available | 2024-08-28T06:32:03Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Measuring road appearance in situ requires either very specific hardware difficult to implement, or extracting core samples from used roads. This is why reflectance estimation from virtual samples constructed from non-invasive acquisitions are useful in a wide range of applications. This article proposes an analysis of several combinations for merging geometric and individual reflectance data, in order to estimate the resulting uncertainty, with various distributions. | en_US |
dc.description.sectionheaders | Representation / Capture / Wave Optics | |
dc.description.seriesinformation | Workshop on Material Appearance Modeling | |
dc.description.seriesinformation | Joint MAM - MANER Conference - Material Appearance Network for Education and Research | |
dc.identifier.doi | 10.2312/mam.20241180 | |
dc.identifier.isbn | 978-3-03868-264-6 | |
dc.identifier.issn | 2309-5059 | |
dc.identifier.pages | 4 pages | |
dc.identifier.uri | https://doi.org/10.2312/mam.20241180 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/mam20241180 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Real Surface Measurement and Virtual Gonioradiometer for Road Appearance Prediction | en_US |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- mam20241180.pdf
- Size:
- 18.5 MB
- Format:
- Adobe Portable Document Format