Estudo sobre Rastreamento Baseado em Características Naturais para Aplicações de Realidade Aumentada em Dispositivos Móveis

Translated title of the contribution: Study about Natural Feature Tracking for Augmented Reality Applications on Mobile Devices

Joaõ Paulo Lima, Rafael Roberto, Veronica Teichrieb, Guilherme Marques

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

2 Citations (SciVal)

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 contributionStudy about Natural Feature Tracking for Augmented Reality Applications on Mobile Devices
Original languagePortuguese
Title of host publicationProceedings - 2015 17th Symposium on Virtual and Augmented Reality, SVR 2015
PublisherIEEE
Pages7-14
Number of pages8
ISBN (Electronic)9781467372046
DOIs
Publication statusPublished - 19 Oct 2015
Event17th Symposium on Virtual and Augmented Reality, SVR 2015 - Sao Paulo, Brazil
Duration: 25 May 201528 May 2015

Publication series

NameProceedings - 2015 17th Symposium on Virtual and Augmented Reality, SVR 2015

Conference

Conference17th Symposium on Virtual and Augmented Reality, SVR 2015
Country/TerritoryBrazil
CitySao Paulo
Period25/05/1528/05/15

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

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