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Accurate static pose estimation combining direct regression and geodesic extrema

Holt, B, Ong, EJ and Bowden, R (2013) Accurate static pose estimation combining direct regression and geodesic extrema 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013. pp. 1-7.

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Abstract

Human pose estimation in static images has received significant attention recently but the problem remains challenging. Using data acquired from a consumer depth sensor, our method combines a direct regression approach for the estimation of rigid body parts with the extraction of geodesic extrema to find extremities. We show how these approaches are complementary and present a novel approach to combine the results resulting in an improvement over the state-of-the-art. We report and compare our results a new dataset of aligned RGB-D pose sequences which we release as a benchmark for further evaluation. © 2013 IEEE.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Holt, BUNSPECIFIEDUNSPECIFIED
Ong, EJUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
Date : 20 August 2013
Identification Number : 10.1109/FG.2013.6553768
Additional Information : © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 17 Nov 2015 17:02
Last Modified : 17 Nov 2015 17:02
URI: http://epubs.surrey.ac.uk/id/eprint/808959

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