Macquarrie, Andrew and Steed, Anthony (2020) Improving Free-Viewpoint Video content production using RGB-camera-based skeletal tracking. In: 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 22-26 March 2020. Atlanta, GA, USA. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New York, pp. 774-775. ISBN 978-1728165325 ; 978-1728165332 (doi:10.1109/VRW50115.2020.00238)

Preview

PDF (AAM) 35109_MacQUARRIE_Improving_Free_Viewpoint_Video.pdf - Accepted Version Available under License Creative Commons Attribution No Derivatives. Download (2MB) | Preview

Abstract

Free-Viewpoint Video (FVV) is a type of volumetric content in which an animated, video-textured 3D mesh of a character performance is constructed using data from an array of cameras. Previous work has demonstrated excellent results when creating motion graphs from FVV content, but these techniques are often prohibitively expensive in practice. We propose the use of skeletons to identify cut points between FVV clips, allowing a minimal set of frames to be processed into a 3D mesh. While our method performed with 2.8% poorer accuracy than the state-of-the-art for our synthetic dataset, cost and processing time requirements are dramatically reduced.

Item Type:	Conference Proceedings
Title of Proceedings:	2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 22-26 March 2020. Atlanta, GA, USA.
Additional Information:	For the purpose of open access, the author has applied a ‘Creative Commons Attribution (CC BY) licence (where permitted by UKRI, ‘Open Government Licence’ or ‘Creative Commons Attribution No-derivatives (CC BY-ND) licence’ may be stated instead) to any Author Accepted Manuscript version arising.
Uncontrolled Keywords:	shape analysis; Virtual Reality; motion capture; motion processing
Subjects:	N Fine Arts > N Visual arts (General) For photography, see TR Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:	Publisher
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/35109

Actions (login required)

View Item

Downloads