University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Volumetric performance capture from minimal camera viewpoints

Gilbert, Andrew, Volino, Marco, Collomosse, John and Hilton, Adrian (2018) Volumetric performance capture from minimal camera viewpoints In: ECCV 2018: European Conference on Computer Vision, 08-14 Sep 2018, Munich, Germany.

[img] Text
Volumetric performance capture from minimal camera viewpoints.pdf - Accepted version Manuscript
Restricted to Repository staff only until 7 October 2019.

Download (5MB)

Abstract

We present a convolutional autoencoder that enables high fidelity volumetric reconstructions of human performance to be captured from multi-view video comprising only a small set of camera views. Our method yields similar end-to-end reconstruction error to that of a prob- abilistic visual hull computed using significantly more (double or more) viewpoints. We use a deep prior implicitly learned by the autoencoder trained over a dataset of view-ablated multi-view video footage of a wide range of subjects and actions. This opens up the possibility of high-end volumetric performance capture in on-set and prosumer scenarios where time or cost prohibit a high witness camera count.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Arts and Social Sciences > Department of Music and Media
Authors :
NameEmailORCID
Gilbert, AndrewA.Gilbert@surrey.ac.uk
Volino, Marcomarco.volino@surrey.ac.uk
Collomosse, JohnJ.Collomosse@surrey.ac.uk
Hilton, AdrianA.Hilton@surrey.ac.uk
Editors :
NameEmailORCID
Ferrari, V
Hebert, M
Sminchisescu, C
Weiss, Y
Date : 6 October 2018
DOI : 10.1007/978-3-030-01252-6_35
Copyright Disclaimer : © 2018 the authors
Related URLs :
Depositing User : Clive Harris
Date Deposited : 25 Jul 2018 13:35
Last Modified : 05 Mar 2019 10:13
URI: http://epubs.surrey.ac.uk/id/eprint/848782

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800