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3D scenery learning on solar system by using marker based augmented reality
Karunya University, IND.
Multimedia University, MYS.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Ceske vysoke uceni technicke v Praze, CZE.
2018 (English)In: 4th International Conference of the Virtual and Augmented Reality in Education, VARE 2018, Dime University of Genoa , 2018, p. 139-143Conference paper, Published paper (Refereed)
Abstract [en]

Augmented reality (AR) is the technology that works on computer vision based recognition algorithms to augment sound, video, graphics and other sensor based inputs and real world objects using the camera of your device. AR applications can become the backbone of education industry. Apps are being developed which are embed text, images and videos, as well as the real-world curriculums. With help of AR, travellers can access real-time information of historical places just by pointing their camera viewfinder to subjects. There are two major forms of augmented reality, marker-based AR and markerless AR. A marker based AR works on concept of target recognition. The target can be 3D object, text, image, QR Code or human-face called markers. Whereas marker-less AR, also known as location-based AR, uses GPS of mobile devices to record the device position and displays information relative to that location. Few drawbacks in marker-less AR like house resolution, size variation and time delay can be solved using marker based algorithms such as marker detection, triangle similarity for marker to camera distance and corner detection. Copyright © (2015) by CAL-TEK S.r.l.All rights reserved. . All Rights Reserved.

Place, publisher, year, edition, pages
Dime University of Genoa , 2018. p. 139-143
Keywords [en]
Augmented reality, Camera, Education technology, Marker, Tracking, Cameras, Display devices, Edge detection, Surface discharges, Education industry, Location-based AR, Real-time information, Real-world objects, Recognition algorithm, Target recognition
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:bth-17356Scopus ID: 2-s2.0-85056694573ISBN: 9788885741218 (print)OAI: oai:DiVA.org:bth-17356DiVA, id: diva2:1266882
Conference
4th International Conference of the Virtual and Augmented Reality in Education, VARE 2018; Budapest
Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2018-11-29Bibliographically approved

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Henesey, Lawrence

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf