Effective Acquisition of Dense Anisotropic BRDF
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F14%3A00221423" target="_blank" >RIV/68407700:21240/14:00221423 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/14:00431132
Result on the web
<a href="http://dx.doi.org/10.1109/ICPR.2014.357" target="_blank" >http://dx.doi.org/10.1109/ICPR.2014.357</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICPR.2014.357" target="_blank" >10.1109/ICPR.2014.357</a>
Alternative languages
Result language
angličtina
Original language name
Effective Acquisition of Dense Anisotropic BRDF
Original language description
The development of novel analytical BRDF models, as well as adaptive BRDF sampling approaches, rely on the appropriate BRDF measurement of real materials. The quality of measurements is even more critical when it comes to accurately representing anisotropic materials where the character of anisotropy is unknown (locations of anisotropic highlights, their width, shape, etc.). As currently there is a lack of dense yet noise-free BRDF anisotropic datasets, we introduce such unique measurements of three anisotropic fabric materials. In this paper we discuss a method of dense BRDF data acquisition, post-processing, missing values interpolation, and analyze properties of the datasets. Our results are compared with photographs, dense data fitted and generatedby two state-of-the art anisotropic BRDF models, and alternative measurements available.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
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 22nd International Conference on Pattern Recognition
ISBN
978-1-4799-5208-3
ISSN
1051-4651
e-ISSN
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Number of pages
6
Pages from-to
2047-2052
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Stockholm
Event date
Aug 24, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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