Color Marker Detection with WebGL for Mobile Augmented Reality Systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015841" target="_blank" >RIV/62690094:18450/19:50015841 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-3-030-27192-3_6" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-27192-3_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-27192-3_6" target="_blank" >10.1007/978-3-030-27192-3_6</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Color Marker Detection with WebGL for Mobile Augmented Reality Systems
Popis výsledku v původním jazyce
This paper presents a real-time tracking method based on a color marker detection. The goal is to develop an algorithm that can find the marker in the input image with preference to speed, precision and flexibility. The paper firstly presents related works in the field of marker detection and their advantages and limitations are summarized. The main advantage of the new proposed solution is that it can be easily parallelized and therefore be implemented on GPU which offers a massive performance for this kind of problems. The designed solution is implemented in WebGL as a two-step algorithm which outputs the image coordinates of the center of the detected marker. Using WebGL technology allows the algorithm to be easily used on all platforms including mobile phones. Testing proves that this implementation of the proposed solution is robust and fast enough for real-time video processing, for example in augmented reality applications. There are also discussed possible improvements in the paper.
Název v anglickém jazyce
Color Marker Detection with WebGL for Mobile Augmented Reality Systems
Popis výsledku anglicky
This paper presents a real-time tracking method based on a color marker detection. The goal is to develop an algorithm that can find the marker in the input image with preference to speed, precision and flexibility. The paper firstly presents related works in the field of marker detection and their advantages and limitations are summarized. The main advantage of the new proposed solution is that it can be easily parallelized and therefore be implemented on GPU which offers a massive performance for this kind of problems. The designed solution is implemented in WebGL as a two-step algorithm which outputs the image coordinates of the center of the detected marker. Using WebGL technology allows the algorithm to be easily used on all platforms including mobile phones. Testing proves that this implementation of the proposed solution is robust and fast enough for real-time video processing, for example in augmented reality applications. There are also discussed possible improvements in the paper.
Klasifikace
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)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Mobile Web and Intelligent Information Systems
ISBN
978-3-030-27191-6
ISSN
0302-9743
e-ISSN
1611-3349
Počet stran výsledku
14
Strana od-do
71-84
Název nakladatele
Springer Nature Switzerland AG 2019
Místo vydání
Springer, Cham
Místo konání akce
Istanbul, Turkey
Datum konání akce
26. 8. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—