📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect (2011)

First Author: Charles J

Attributed to: Learning Unconstrained Human Pose Estimation from Low-cost Approximate Annotation funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/iccvw.2011.6130387

Publication URI: http://dx.doi.org/10.1109/iccvw.2011.6130387

Type: Conference/Paper/Proceeding/Abstract

ISBN: 978-1-4673-0062-9