Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00392214" target="_blank" >RIV/67985556:_____/13:00392214 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.cag.2013.02.010" target="_blank" >http://dx.doi.org/10.1016/j.cag.2013.02.010</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cag.2013.02.010" target="_blank" >10.1016/j.cag.2013.02.010</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets

Popis výsledku v původním jazyce

Although computer graphics uses measured view and illumination dependent data to achieve realistic digital reproduction of real-world material properties, the extent of their utilization is currently limited by a complicated acquisition process. Due to the high dimensionality of such data, the acquisition process is demanding on time and resources. Proposed is a method of approximate reconstruction of the data from a very sparse dataset, obtained quickly using inexpensive hardware. This method does notimpose any restrictions on input datasets and can handle anisotropic, non-reciprocal view and illumination direction-dependent data. The method's performance was tested on a number of isotropic and anisotropic apparent BRDFs, and the results were encouraging.

Název v anglickém jazyce

Fast method of sparse acquisition and reconstruction of view and illumination dependent datasets

Popis výsledku anglicky

Although computer graphics uses measured view and illumination dependent data to achieve realistic digital reproduction of real-world material properties, the extent of their utilization is currently limited by a complicated acquisition process. Due to the high dimensionality of such data, the acquisition process is demanding on time and resources. Proposed is a method of approximate reconstruction of the data from a very sparse dataset, obtained quickly using inexpensive hardware. This method does notimpose any restrictions on input datasets and can handle anisotropic, non-reciprocal view and illumination direction-dependent data. The method's performance was tested on a number of isotropic and anisotropic apparent BRDFs, and the results were encouraging.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BD - Teorie informace

OECD FORD obor

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Projekt

<a href="/cs/project/GAP103%2F11%2F0335" target="_blank" >GAP103/11/0335: Přesné měření vzhledu materiálů</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Computers & Graphics-Uk

ISSN

0097-8493

e-ISSN

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Svazek periodika

37

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

12

Strana od-do

376-388

Kód UT WoS článku

000321532100009

EID výsledku v databázi Scopus

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