Enabling an augmented reality ecosystem: A content-oriented survey

Zhuo Zhang, Sanjeev R. Kulkarni, Pan Hui, Christoph Peylo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Augmented Reality (AR) is an emerging technology that provides a user experience of augmenting the real world with virtual objects, and allows the user to interact with the virtual objects in real time and space. An AR ecosystem brings content providers, users, AR application developers, AR device manufacturers, and researchers together, making the whole AR environment sustainable. As technology (e.g., sensor tracking, ad hoc routing, computer vision and mobile computing) for supporting AR applications is developing rapidly, content is emerging as a key issue to focus on. In this paper, the state of art in AR from the content generation perspective is reviewed, and three key steps are introduced, namely data collection, content fusion, and content display. Some AR systems and current trends are also briefly discussed.

Original languageEnglish (US)
Title of host publicationMARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014
PublisherAssociation for Computing Machinery
Pages41-46
Number of pages6
ISBN (Print)9781450328241
DOIs
StatePublished - Jan 1 2014
Event2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014 - Bretton Woods, NH, United States
Duration: Jun 16 2014Jun 16 2014

Publication series

NameMARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014

Other

Other2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, MARS 2014 - Co-located with MobiSys 2014
CountryUnited States
CityBretton Woods, NH
Period6/16/146/16/14

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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  • Cite this

    Zhang, Z., Kulkarni, S. R., Hui, P., & Peylo, C. (2014). Enabling an augmented reality ecosystem: A content-oriented survey. In MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014 (pp. 41-46). (MARS 2014 - Proceedings of the 2014 Workshop for Mobile Augmented Reality and Robotic Technology-Based Systems, Co-located with MobiSys 2014). Association for Computing Machinery. https://doi.org/10.1145/2609829.2609835