Cloud computing based mobile augmented reality interactive system

Pei Hsuan Chiu, Po Hsuan Tseng, Kai-Ten Feng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Augmented reality (AR) technology is mainly composed of feature extraction, feature points matching and 3D object drawing to impose virtual information onto the real camera. Hand tracking method is designed to realize interactive AR system to further enhance user experience (UX). However, feature extraction, feature points matching, and hand tracking all require high computational cost. To achieve real-time implementation on mobile, we proposed a Mobile Augmented ReAlity Interactive System based on cloud computing (MARAIS). Cloud side is responsible for heavy tasks that need sufficient computational capabilities, and device side performs sensing, detecting and displaying. Device/cloud architecture has been designed to maintain tolerable processing delay with minimum communication overhead. To validate the suitability for real-time interaction, MARAIS is combined with a picture book to realize a digital learning system. Implementation of interactive AR system based on cloud computing eases the requirement of data storage, memory, and computational power at device side.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3320-3325
Number of pages6
ISBN (Electronic)9781479930838
DOIs
StatePublished - 10 Nov 2014
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
CountryTurkey
CityIstanbul
Period6/04/149/04/14

Keywords

  • cloud computing
  • interactive augmented reality (AR) system
  • particle filter

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