The University of Southampton
University of Southampton Institutional Repository

3D human pose estimation from multi person stereo 360 scenes

3D human pose estimation from multi person stereo 360 scenes
3D human pose estimation from multi person stereo 360 scenes
Shere, M.
4c639f4e-704c-4e4f-ab97-8e3fd6eafaad
Kim, Hansung
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db
Shere, M.
4c639f4e-704c-4e4f-ab97-8e3fd6eafaad
Kim, Hansung
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db

Shere, M., Kim, Hansung and Hilton, Adrian (2019) 3D human pose estimation from multi person stereo 360 scenes. IEEE Conference on Computer Vision and Pattern Recognition Workshop, United States. 16 Jun 2019 - 20 Jun 2020 .

Record type: Conference or Workshop Item (Paper)

Full text not available from this repository.

More information

Published date: 2019
Venue - Dates: IEEE Conference on Computer Vision and Pattern Recognition Workshop, United States, 2019-06-16 - 2020-06-20

Identifiers

Local EPrints ID: 440614
URI: http://eprints.soton.ac.uk/id/eprint/440614
PURE UUID: bf15c3d6-ee14-4370-9719-74f9f9dee78b
ORCID for Hansung Kim: ORCID iD orcid.org/0000-0003-4907-0491

Catalogue record

Date deposited: 12 May 2020 16:35
Last modified: 09 Sep 2020 01:53

Export record

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.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

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.

×