REVERIE: Natural Human Interaction in Virtual Immersive Environments
Book chapter
Wall, J., Izquierdo, Ebroul, Argyriou, Lemonia, Monaghan, David S., O'Connor, Noel E., Poulakos, Steven, Smolic, Aljoscha and Mekuria, Rufael 2014. REVERIE: Natural Human Interaction in Virtual Immersive Environments. in: 2014 IEEE International Conference on Image Processing (ICIP) IEEE. pp. 2165-2167
Authors | Wall, J., Izquierdo, Ebroul, Argyriou, Lemonia, Monaghan, David S., O'Connor, Noel E., Poulakos, Steven, Smolic, Aljoscha and Mekuria, Rufael |
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Abstract | REVERIE (REal and Virtual Engagement in Realistic Immersive Environments [1]) targets novel research to address the demanding challenges involved with developing state-of-the-art technologies for online human interaction. The REVERIE framework enables users to meet, socialise and share experiences online by integrating cutting-edge technologies for 3D data acquisition and processing, networking, autonomy and real-time rendering. In this paper, we describe the innovative research that is showcased through the REVERIE integrated framework through richly defined use-cases which demonstrate the validity and potential for natural interaction in a virtual immersive and safe environment. Previews of the REVERIE demo and its key research components can be viewed at www.youtube.com/user/REVERIEFP7. |
Keywords | tele-immersion; avatars; virtual human interaction; 3D audio and visual content |
Book title | 2014 IEEE International Conference on Image Processing (ICIP) |
Page range | 2165-2167 |
Year | 2014 |
Publisher | IEEE |
Publication dates | |
Oct 2014 | |
Publication process dates | |
Deposited | 03 Dec 2015 |
Event | 2014 IEEE International Conference on Image Processing (ICIP) |
ISBN | 9781479957514 |
Funder | European Commission |
Web address (URL) | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7025435 |
https://www.researchgate.net/publication/270876858_REVERIE_Natural_human_interaction_in_virtual_immersive_environments | |
Additional information | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Accepted author manuscript | License CC BY-NC-ND |
https://repository.uel.ac.uk/item/858wx
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