A skeleton-free body surface area estimation from depth images using deep neural networks

Nahavandi, Darius, Abobakr, Ahmed, Haggag, Hussein and Hossny, Mohammed 2017, A skeleton-free body surface area estimation from depth images using deep neural networks, in SMC 2017 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Piscataway, N.J., pp. 2707-2711, doi: 10.1109/SMC.2017.8123035.

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Title A skeleton-free body surface area estimation from depth images using deep neural networks
Author(s) Nahavandi, DariusORCID iD for Nahavandi, Darius orcid.org/0000-0002-5007-9584
Abobakr, AhmedORCID iD for Abobakr, Ahmed orcid.org/0000-0002-6664-2335
Haggag, HusseinORCID iD for Haggag, Hussein orcid.org/0000-0001-7368-6777
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Conference name Systems, Man, and Cybernetics. International Conference (2017 : Banff, Canada)
Conference location Banff, Canada
Conference dates 2017/10/05 - 2017/10/08
Title of proceedings SMC 2017 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics
Publication date 2017
Start page 2707
End page 2711
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Cybernetics
Computer Science
Kinect
RGB-D
Body Surface Area (BSA)
ConvNet and AlexNet
ISBN 9781538616451
Language eng
DOI 10.1109/SMC.2017.8123035
Indigenous content off
Field of Research 080106 Image Processing
080104 Computer Vision
Socio Economic Objective 920401 Behaviour and Health
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30111923

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