BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00393865" target="_blank" >RIV/67985556:_____/13:00393865 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2013.193" target="_blank" >http://dx.doi.org/10.1109/CVPR.2013.193</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2013.193" target="_blank" >10.1109/CVPR.2013.193</a>
Alternative languages
Result language
angličtina
Original language name
BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition
Original language description
In this paper we introduce unique publicly available dense anisotropic BRDF data measurements. We use this dense data as a reference for performance evaluation of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively-represented, uniformly distributed, perpendicular slices. Although this proposed method requires only a sparse sampling of material, the interpolation provides a very accurate reconstruction, visually and computationally comparable to densely measured reference. Due to the simple slices measurement and method's robustness it allows for a highly accurate acquisition of BRDFs. This in comparison with standard uniform angular sampling, is considerably faster yet uses far less samples.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F11%2F0335" target="_blank" >GAP103/11/0335: Accurate material appearance measurement</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-0-7695-4990-3
ISSN
2160-7508
e-ISSN
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Number of pages
6
Pages from-to
1468-1473
Publisher name
IEEE Computer Society Conference Publishing Services
Place of publication
New York
Event location
Portland, OR
Event date
Jun 23, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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