The University of Southampton
University of Southampton Institutional Repository

Dynamic adaptive mesh streaming for real-time 3D teleimmersion

Crowle, Simon, Doumanoglou, Alexandros, Zarpalas, Dimitrios, Poussard, Benjamin, Daras, Petros and Boniface, Michael (2015) Dynamic adaptive mesh streaming for real-time 3D teleimmersion At WEB3D Conference 2015, Greece. 18 - 21 Jun 2015.

Record type: Conference or Workshop Item (Paper)


Recent advances in full body 3D reconstruction methods have lead to the realisation of high quality, real-time, photo realistic capture of users in a range of tele-immersion (TI) contexts including gaming and mixed reality environments. The full body reconstruction (FBR) process is computationally expensive requiring comparatively high CPU, GPU and network resources in order to maintain a shared, virtual reality in which high quality 3D reproductions of users can be rendered in real-time. A significant optimisation of the delivery of FBR content has been achieved through the realtime compression and de-compression of 3D geometry and textures. Here we present a new, adaptive compression methodology that allows a TI system called 3D-LIVE to modify the quality and speed of a FBR TI pipeline based on the data carrying capability of the network. Our rule-based adaptation strategy uses network performance sampling processes and a configurable rule engine to dynamically alter the compression of FBR reconstruction on-the-fly. We demonstrate the efficacy of the approach with an experimental evaluation of system and conclude with a discussion of future directions for adaptive FBR compression

PDF 380957.pdf - Other
Download (1MB)

More information

Published date: 20 June 2015
Venue - Dates: WEB3D Conference 2015, Greece, 2015-06-18 - 2015-06-21
Organisations: IT Innovation


Local EPrints ID: 380957
PURE UUID: 2cd08731-f337-4129-830f-e45fdb96e29e

Catalogue record

Date deposited: 21 Sep 2015 13:01
Last modified: 17 Jul 2017 20:31

Export record


Author: Simon Crowle
Author: Alexandros Doumanoglou
Author: Dimitrios Zarpalas
Author: Benjamin Poussard
Author: Petros Daras
Author: Michael Boniface

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.