Abstract
This work aims to evaluate different ways of performing natural feature tracking on mobile devices. Two solutions have been developed. One solution is standalone, that is, uses only the mobile device, and the other solution transfers part of the processing to a server. Both solutions were implemented for the Android platform and use OpenCV, which is a computer vision library. Besides that, the standalone solution uses the Intel TBB library, which allows processing parallelization. The description of the utilized techniques as well as the details of how they were implemented is presented throughout this work. Finally, a comparative study of the techniques is presented based on the tests performed using a recent Android device.
Translated title of the contribution | Study about Natural Feature Tracking for Augmented Reality Applications on Mobile Devices |
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Original language | Portuguese |
Title of host publication | Proceedings - 2015 17th Symposium on Virtual and Augmented Reality, SVR 2015 |
Publisher | IEEE |
Pages | 7-14 |
Number of pages | 8 |
ISBN (Electronic) | 9781467372046 |
DOIs | |
Publication status | Published - 19 Oct 2015 |
Event | 17th Symposium on Virtual and Augmented Reality, SVR 2015 - Sao Paulo, Brazil Duration: 25 May 2015 → 28 May 2015 |
Publication series
Name | Proceedings - 2015 17th Symposium on Virtual and Augmented Reality, SVR 2015 |
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Conference
Conference | 17th Symposium on Virtual and Augmented Reality, SVR 2015 |
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Country/Territory | Brazil |
City | Sao Paulo |
Period | 25/05/15 → 28/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- augmented reality
- mobile devices
- natural features
- Tracking
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition