Free-viewpoint video for immersive content production
Lead Research Organisation:
University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP
Abstract
This project will identify opportunities for creating new forms of visual/audio-visual immersive or interactive content through analysis and processing of conventional video feeds using novel algorithms. Suitable processing methods will be implemented and tested on a range of broadcast-style video. Research will build on recent advances in free-viewpoint video and general dynamic scene reconstruction to develop computer vision methods for creation of immersive 360 VR experiences from live-action content which allow the viewer to move through the scene. Novel methods will be developed for dynamic scene reconstruction from 360 video. This technology has potential for widespread application in the media industries with the advent of immersive content.
Organisations
People |
ORCID iD |
Adrian Hilton (Primary Supervisor) | |
Matthew Shere (Student) |
Publications
Shere M
(2019)
3D Human Pose Estimation From Multi Person Stereo 360 Scenes
Shere M
(2020)
3D Multi Person Tracking With Dual 360° Cameras
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/N509383/1 | 30/09/2015 | 30/03/2021 | |||
1815493 | Studentship | EP/N509383/1 | 25/09/2016 | 30/03/2021 | Matthew Shere |