Surface Reflectance Characterization by Statistical Tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233082" target="_blank" >RIV/68407700:21230/15:00233082 - isvavai.cz</a>

Výsledek na webu

<a href="http://dcgi.felk.cvut.cz/home/havran/ARTICLES/sccg15.pdf" target="_blank" >http://dcgi.felk.cvut.cz/home/havran/ARTICLES/sccg15.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Surface Reflectance Characterization by Statistical Tools

Popis výsledku v původním jazyce

The classification of surface reflectance functions as diffuse, specular, and glossy has been introduced by Heckbert more than two decades ago. Many rendering algorithms are dependent on such a classification, as different kinds of light transport will be handled by specialized methods, for example caustics require specular bounce or refraction. Due to the increasing wealth of surface reflectance models including those based on measured data, it has not been possible to keep such a characterization simple. Each surface reflectance model is mostly handled separately, or alternatively, the rendering algorithm restricts itself to the use of some subset of reflectance models. We suggest a characterization for arbitrary surface reflectance representation bystandard statistical tools, namely normalized variance known as Squared-Coefficient-of-Variation (SCV). We show by videos that there is even a weak perceptual correspondence with the proposed reflectance characterization, when we use mon

Název v anglickém jazyce

Surface Reflectance Characterization by Statistical Tools

Popis výsledku anglicky

The classification of surface reflectance functions as diffuse, specular, and glossy has been introduced by Heckbert more than two decades ago. Many rendering algorithms are dependent on such a classification, as different kinds of light transport will be handled by specialized methods, for example caustics require specular bounce or refraction. Due to the increasing wealth of surface reflectance models including those based on measured data, it has not been possible to keep such a characterization simple. Each surface reflectance model is mostly handled separately, or alternatively, the rendering algorithm restricts itself to the use of some subset of reflectance models. We suggest a characterization for arbitrary surface reflectance representation bystandard statistical tools, namely normalized variance known as Squared-Coefficient-of-Variation (SCV). We show by videos that there is even a weak perceptual correspondence with the proposed reflectance characterization, when we use mon

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-19213S" target="_blank" >GA14-19213S: Mobilní měření, komprese a syntéza obrazu pro prostorově proměnnou reflektanci materiálů</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of Spring Conference on Computer Graphics 2015

ISBN

978-80-223-3844-8

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

55-62

Název nakladatele

Comenius University Bratislava

Místo vydání

Bratislava

Místo konání akce

Smolenice

Datum konání akce

27. 4. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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