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Statements

Subject Item
n2:RIV%2F00216275%3A25530%2F11%3A39894533%21RIV12-MSM-25530___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
In this paper, we introduce prototype of augmented reality platform for accessing contextual information in real time using indoors location system. Using this platform, object and environment can be augmented with related information queried and restricted by the location and view direction. We designed our own solution of indoor location system based on signal measurement of Wi-Fi devices (Access Points) in local network. For the best accurate projection of contextual data and models, without the need to use markers, we use algorithms for edge detection and object recognition. All of these technics together serve for rendering information in real-time as accurately as possible. In this paper, we introduce prototype of augmented reality platform for accessing contextual information in real time using indoors location system. Using this platform, object and environment can be augmented with related information queried and restricted by the location and view direction. We designed our own solution of indoor location system based on signal measurement of Wi-Fi devices (Access Points) in local network. For the best accurate projection of contextual data and models, without the need to use markers, we use algorithms for edge detection and object recognition. All of these technics together serve for rendering information in real-time as accurately as possible.
dcterms:title
Mobile augmented reality architecture for indoor area with markerless tracking Mobile augmented reality architecture for indoor area with markerless tracking
skos:prefLabel
Mobile augmented reality architecture for indoor area with markerless tracking Mobile augmented reality architecture for indoor area with markerless tracking
skos:notation
RIV/00216275:25530/11:39894533!RIV12-MSM-25530___
n7:predkladatel
n18:orjk%3A25530
n4:aktivita
n17:S
n4:aktivity
S
n4:cisloPeriodika
3
n4:dodaniDat
n6:2012
n4:domaciTvurceVysledku
n12:9491767 n12:5756405 n12:1134744
n4:druhVysledku
n13:J
n4:duvernostUdaju
n5:S
n4:entitaPredkladatele
n16:predkladatel
n4:idSjednocenehoVysledku
212788
n4:idVysledku
RIV/00216275:25530/11:39894533
n4:jazykVysledku
n11:eng
n4:klicovaSlova
Markerless object recognition; Real-time edge detection; Indoor location; Augmented reality
n4:klicoveSlovo
n8:Augmented%20reality n8:Markerless%20object%20recognition n8:Real-time%20edge%20detection n8:Indoor%20location
n4:kodStatuVydavatele
TR - Turecká republika
n4:kontrolniKodProRIV
[332B8810BDEA]
n4:nazevZdroje
ICGST International Journal on Automatic Control and System Engineering
n4:obor
n15:JC
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n6:2011
n4:svazekPeriodika
11
n4:tvurceVysledku
Štafa, Jan Keller, Jan Čegan, Lukáš
s:issn
1687-4811
s:numberOfPages
5
n14:organizacniJednotka
25530