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Conference object . 2018
License: CC BY
Data sources: Datacite
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ZENODO
Conference object . 2018
License: CC BY
Data sources: Datacite
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Virtual Reality Conferencing: Multi-user immersive VR experiences on the web

Authors: Gunkel, Simon N.B.; Stokking, Hans M.; Prins, Martin J.; van der Stap, Nanda; ter Haar, Frank B.; Niamut, Omar A.; Niamut Omar, A.;

Virtual Reality Conferencing: Multi-user immersive VR experiences on the web

Abstract

Virtual Reality (VR) and 360-degree video are set to become part of the future social environment, enriching and enhancing the way we share experiences and collaborate remotely. While Social VR applications are getting more momentum, most services regarding Social VR focus on animated avatars. In this demo, we present our efforts towards Social VR services based on photo-realistic video recordings. In this demo paper, we focus on two parts, the communication between multiple people (max 3) and the integration of new media formats to represent users as 3D point clouds. We enhance a green screen (chroma key) like cut-out of the person with depth data, allowing point cloud based rendering in the client. Further, the paper presents a user study with 54 people evaluating a three-people communication use case and a technical analysis to move towards 3D representations of users. This demo consists of two shared virtual environments to communicate and interact with others, i.e. i) a 360-degree virtual space with users being represented as 2D video streams (with the background removed) and ii) a 3D space with users being represented as point clouds (based on color and depth video data).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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