Improving Marker-Based Tracking for Augmented Reality in Underwater Environments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F18%3A00104539" target="_blank" >RIV/00216224:14330/18:00104539 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.2312/gch.20181337" target="_blank" >http://dx.doi.org/10.2312/gch.20181337</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2312/gch.20181337" target="_blank" >10.2312/gch.20181337</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Improving Marker-Based Tracking for Augmented Reality in Underwater Environments

Popis výsledku v původním jazyce

Underwater sites are a challenging environment for augmented reality. Images taken under water are degraded in several ways, most importantly they are affected by unbalanced colors due to uneven absorption of light in each color channel, blurring and desaturation caused by turbidity, or noise due to the presence of larger organisms, plants, or bubbles. In this paper, we introduce a new method based on white balancing that enhances underwater images to improve the results of detection of markers. We compare this method with several image enhancement methods, and evaluate their performance when applied to the problem of detecting markers under water. Our results show that our method improves the detection in underwater environments while keeping the computation time low.

Název v anglickém jazyce

Improving Marker-Based Tracking for Augmented Reality in Underwater Environments

Popis výsledku anglicky

Underwater sites are a challenging environment for augmented reality. Images taken under water are degraded in several ways, most importantly they are affected by unbalanced colors due to uneven absorption of light in each color channel, blurring and desaturation caused by turbidity, or noise due to the presence of larger organisms, plants, or bubbles. In this paper, we introduce a new method based on white balancing that enhances underwater images to improve the results of detection of markers. We compare this method with several image enhancement methods, and evaluate their performance when applied to the problem of detecting markers under water. Our results show that our method improves the detection in underwater environments while keeping the computation time low.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. of the Eurographics Workshop on Graphics and Cultural Heritage, The Eurographics Association, Vienna, Austria, 21-30, 2018

ISBN

9783038680574

ISSN

2312-6124

e-ISSN

—

Počet stran výsledku

10

Strana od-do

21-30

Název nakladatele

The Eurographics Association

Místo vydání

Vienna

Místo konání akce

Vienna, Austria

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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