Name
Abstract | ||
|---|---|---|
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 real-time 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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2775292.2775296 | 3D technologies for the World Wide Web |
Keywords | Field | DocType |
content adaptation, adaptive compression, network | Virtual reality,Computer science,Quality of service,Real-time computing,Sampling (statistics),Network monitoring,Mixed reality,Content adaptation,Network performance,3D reconstruction | Conference |
Citations | PageRank | References |
1 | 0.36 | 20 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Simon Crowle | 1 | 1 | 0.36 |
| Alexandros Doumanoglou | 2 | 12 | 6.33 |
| Benjamin Poussard | 3 | 2 | 0.72 |
| Michael Boniface | 4 | 53 | 6.40 |
| Dimitrios Zarpalas | 5 | 303 | 33.96 |
| Petros Daras | 6 | 1129 | 131.72 |