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Real-time recovery of moving 3D faces for emerging applications

Emrith, K.; Broadbent, L.; Smith, L. N.; Smith, M. L.; Molleda, J.; Emrith, Khemraj; Broadbent, Laurence; Smith, Lyndon; Smith, Melvyn; Molleda, Julio

Authors

K. Emrith

L. Broadbent

L. N. Smith

M. L. Smith

J. Molleda

Dr Khemraj Emrith Khemraj.Emrith@uwe.ac.uk
Associate Head of Departmemt Business Engagement and Partnerships

Laurence Broadbent

Lyndon Smith Lyndon.Smith@uwe.ac.uk
Professor in Computer Simulation and Machine

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Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof

Julio Molleda



Abstract

Existing face imaging systems are not suitable to meet the face representation and recognition demands for emerging applications in areas such as interactive gaming, enhanced learning environments and directed advertising. This is mainly due to the poor capture and characterisation of facial data that compromises their spatial and temporal precision. For emerging applications it is not only necessary to have a high level of precision for the representation of facial data, but also to characterise dynamic faces as naturally as possible and in a timely manner. This study proposes a new framework for capturing and recovering dynamic facial information in real-time at significantly high order of spatial and temporal accuracy to capture and model subtle facial changes for enhanced realism in 3D face visualisation and higher precision for face recognition applications. We also present a novel, fast, and robust correspondence mapping approach for 3D registration of moving 3D faces. © 2013 Elsevier B.V. All rights reserved.

Citation

Molleda, J., Smith, M. L., Smith, L. N., Broadbent, L., Emrith, K., Emrith, K., …Molleda, J. (2013). Real-time recovery of moving 3D faces for emerging applications. Computers in Industry, 64(9), 1390-1398. https://doi.org/10.1016/j.compind.2013.03.011

Journal Article Type Article
Publication Date Jan 1, 2013
Deposit Date Jul 31, 2013
Journal Computers in Industry
Print ISSN 0166-3615
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 64
Issue 9
Pages 1390-1398
DOI https://doi.org/10.1016/j.compind.2013.03.011
Keywords photometric stereo, GPU acceleration, 3D face reconstruction
Public URL https://uwe-repository.worktribe.com/output/931699
Publisher URL http://dx.doi.org/10.1016/j.compind.2013.03.011