Paper Details: Downloads: 425
Serial Number: P1141133756
Title: Mobile augmented reality architecture for indoor area with markerless tracking
Authors: Ing. Jan Keller; Ing. Jan Štafa; Ing. Lukáš Cegan, Ph.D.
Abstract: 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.
Keywords: augmented reality, indoor location, real-time edge detection, markerless object recognition
Journal/Conference: ICGST Conference on Computer Science and Engineering, CSE-11
Volume:
Issue:
Submission Date: 8/16/2011 12:00:00 AM
Review Date: 12/4/2011 12:26:54 PM
Publishing Date: 12/19/2011 12:00:00 AM
Article Downloads: 425
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