Adaptive real-time object recognition for augmented reality

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F12%3A43907187" target="_blank" >RIV/62156489:43110/12:43907187 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive real-time object recognition for augmented reality

Popis výsledku v původním jazyce

One of the key features of virtually all object recognition systems is the ability do deal with occlusions of detected objects. This article is focused on identification of occluded artificial objects such as square markers. The article reviews frequently used methods for detection of partially occluded markers. Further, our implementation of two object recognition methods is presented. The first method is based on morphological operations. The other one is based on a SURF feature extraction and matching. Finally, our adaptive detection method that takes the best from both implementations is described. Presented method is especially useful for real-time applications such as augmented reality systems.

Název v anglickém jazyce

Adaptive real-time object recognition for augmented reality

Popis výsledku anglicky

One of the key features of virtually all object recognition systems is the ability do deal with occlusions of detected objects. This article is focused on identification of occluded artificial objects such as square markers. The article reviews frequently used methods for detection of partially occluded markers. Further, our implementation of two object recognition methods is presented. The first method is based on morphological operations. The other one is based on a SURF feature extraction and matching. Finally, our adaptive detection method that takes the best from both implementations is described. Presented method is especially useful for real-time applications such as augmented reality systems.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Mendel 2012. 18th International Conference on Soft Computing: evolutionary computation, genetic programming, swarm ingelligence, fuzzy logic, neural networks, fractals, bayesian methods

ISBN

978-80-214-4540-6

ISSN

1803-3814

e-ISSN

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Počet stran výsledku

6

Strana od-do

526-531

Název nakladatele

Vysoké učení technické v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

27. 6. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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