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An Implementation of a Cloud Service based Augmented Reality for Improved Interactivity


Affiliations
1 Department of Ubiquitous IT, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, South Korea
 

Objectives: Implementation of Augmented Reality together with Cloud Service to improve flexibility and interactivity either for the end users as well as developers. Method/Statistical Analysis: Android has their precompiled OpenGL ES to draw graphics. Combining with OpenCV, it can result into a powerful enough Augmented Reality application and it is free to use. OpenCV provides feature detection and recognition and tracking for markers and OpenGL to draw 3D graphics. Findings: Implementing cloud service with smartphone application proves to be more efficient and flexible instead of general closed environment application. Adding markers and 3D data doesn’t require the users to update their application each time, but it can automatically detect which marker are available in the server and display the appropriate 3D model depending on the marker detected. This provides the user with lower storage in their Smartphone’s and better usage of the Augmented Reality application. Application/Implementation: This can be applied in all sorts of Virtual Reality or Augmented Reality application where the developers may add much data according to the users’ needs.

Keywords

Augmented Reality, Cloud Service, Object Homography, Object Tracking, Open Environment System.
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  • An Implementation of a Cloud Service based Augmented Reality for Improved Interactivity

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Authors

Edwin Kurniawan
Department of Ubiquitous IT, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, South Korea
Byung Gook Lee
Department of Ubiquitous IT, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, South Korea
Suk Ho Lee
Department of Ubiquitous IT, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, South Korea

Abstract


Objectives: Implementation of Augmented Reality together with Cloud Service to improve flexibility and interactivity either for the end users as well as developers. Method/Statistical Analysis: Android has their precompiled OpenGL ES to draw graphics. Combining with OpenCV, it can result into a powerful enough Augmented Reality application and it is free to use. OpenCV provides feature detection and recognition and tracking for markers and OpenGL to draw 3D graphics. Findings: Implementing cloud service with smartphone application proves to be more efficient and flexible instead of general closed environment application. Adding markers and 3D data doesn’t require the users to update their application each time, but it can automatically detect which marker are available in the server and display the appropriate 3D model depending on the marker detected. This provides the user with lower storage in their Smartphone’s and better usage of the Augmented Reality application. Application/Implementation: This can be applied in all sorts of Virtual Reality or Augmented Reality application where the developers may add much data according to the users’ needs.

Keywords


Augmented Reality, Cloud Service, Object Homography, Object Tracking, Open Environment System.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i46%2F129263