Adaptive slices for acquisition of anisotropic BRDF
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Adaptive slices for acquisition of anisotropic BRDF
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Adaptive slices for acquisition of anisotropic BRDF
Popis výsledku anglicky
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
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/GA17-18407S" target="_blank" >GA17-18407S: Vizuálně optimalizované měření vzhledu materiálů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Computational Visual Media
ISSN
2096-0433
e-ISSN
—
Svazek periodika
4
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CN - Čínská lidová republika
Počet stran výsledku
15
Strana od-do
55-69
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85050943059