Image-based appearance acquisition of effect coatings

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00504286" target="_blank" >RIV/67985556:_____/19:00504286 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s41095-019-0134-3" target="_blank" >https://link.springer.com/article/10.1007/s41095-019-0134-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s41095-019-0134-3" target="_blank" >10.1007/s41095-019-0134-3</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Image-based appearance acquisition of effect coatings

Popis výsledku v původním jazyce

Paint manufacturers strive to introduce unique visual effects to coatings in order to visually communicate functional properties of products using value-added, customized design. However, these effects often feature complex angularly dependent spatially-varying behavior, thus representing a challenge in digital reproduction. In this paper we analyze several approaches to capturing spatially-varying appearance of effect coatings. We compare a baseline approach based on bidirectional texture function (BTF) with four variants of half-difference parameterization. Through a psychophysical study we identify minimal sampling along individual dimensions of this parametrization. We conclude that bivariate representations preserve visual fidelity of effect coatings, while in contrast to BTF, better characterizing near-specular behavior and significantly restricting number of captured images.

Název v anglickém jazyce

Image-based appearance acquisition of effect coatings

Popis výsledku anglicky

Paint manufacturers strive to introduce unique visual effects to coatings in order to visually communicate functional properties of products using value-added, customized design. However, these effects often feature complex angularly dependent spatially-varying behavior, thus representing a challenge in digital reproduction. In this paper we analyze several approaches to capturing spatially-varying appearance of effect coatings. We compare a baseline approach based on bidirectional texture function (BTF) with four variants of half-difference parameterization. Through a psychophysical study we identify minimal sampling along individual dimensions of this parametrization. We conclude that bivariate representations preserve visual fidelity of effect coatings, while in contrast to BTF, better characterizing near-specular behavior and significantly restricting number of captured images.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/GA17-18407S" target="_blank" >GA17-18407S: Vizuálně optimalizované měření vzhledu materiálů</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Computational Visual Media

ISSN

2096-0433

e-ISSN

—

Svazek periodika

5

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CN - Čínská lidová republika

Počet stran výsledku

17

Strana od-do

73-89

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85064275364