Adaptive slices for acquisition of anisotropic BRDF
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00486116" target="_blank" >RIV/67985556:_____/18:00486116 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s41095-017-0099-z" target="_blank" >http://dx.doi.org/10.1007/s41095-017-0099-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s41095-017-0099-z" target="_blank" >10.1007/s41095-017-0099-z</a>
Alternative languages
Result language
angličtina
Original language name
Adaptive slices for acquisition of anisotropic BRDF
Original language description
BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper we present a practical adaptive method for acquisition of the anisotropic BRDF. It is based on a sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices which form a sparse four-dimensional structure in the BRDF space and which can be measured by continuous movements of a light source and a sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor creates a significant time constraint. In order to evaluate our method, we perform adaptive measurements of three materials and we simulate adaptive measurements of thirteen others. We achieve a four-times lower reconstruction error in comparison with the regular non-adaptive BRDF measurements given the same count of measured samples. Our method is almost twice better than a previous adaptive method, and it requires from two- to five-times less samples to achieve the same results as alternative approaches.n
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-18407S" target="_blank" >GA17-18407S: Perceptually Optimized Measurement of Material Appearance</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computational Visual Media
ISSN
2096-0433
e-ISSN
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Volume of the periodical
4
Issue of the periodical within the volume
1
Country of publishing house
CN - CHINA
Number of pages
15
Pages from-to
55-69
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85050943059