1. Proceedings
  2. I3M
  3. 2018
  4. VARE
  5. 10.46354/i3m.2018.vare.021

3D Scenery Learning on Solar system by Using Marker Based Augmented Reality

  • a K.Martin Sagayam  
  • bChung Ching Ho  
  • cLawrence Henesey  
  • d R. Bestak  
  • aDepartment of ECE,  Karunya University, Multimedia University, Coimbatore, India
  • cDepartment of Comp. & Inf., Multimedia University, Malaysia
  • d Department of Sys. & Soft. Eng, Blekine Inst. of Tech., Sweden 
  • e Department of Teleco. En, Czech Tech. University,Prague
Cite as
K.M. Sagayam, C.C. Ho, L. Henesey, R. Bestak (2018). 3D scenery learning on solar system by using marker based augmented reality. Proceedings of the 4th International Conference of The Virtual And Augmented Reality In Education (VARE 2018), pp. 139-143. DOI: https://doi.org/10.46354/i3m.2018.vare.021

Abstract

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.

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