A PCA-Based Method for Determining Craniofacial Relationship and Sexual Dimorphism of Facial Shapes

Shui, W., Zhou, M., Maddock, S.C. et al. (3 more authors) (2017) A PCA-Based Method for Determining Craniofacial Relationship and Sexual Dimorphism of Facial Shapes. Computers in Biology and Medicine, 90. pp. 33-49. ISSN 0010-4825

Abstract

Metadata

Authors/Creators:
  • Shui, W.
  • Zhou, M.
  • Maddock, S.C.
  • He, T.
  • Wang, X.
  • Deng, Q.
Copyright, Publisher and Additional Information: © 2017 Elsevier. This is an author produced version of a paper subsequently published in JOURNAL. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Computed tomography (CT); dense corresponding vertices; statistical shape spaces; shape variability; craniofacial relationship; sexual dimorphism
Dates:
  • Accepted: 22 August 2017
  • Published (online): 7 September 2017
  • Published: 1 November 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 07 Sep 2017 14:19
Last Modified: 23 Nov 2017 11:41
Published Version: https://doi.org/10.1016/j.compbiomed.2017.08.023
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.compbiomed.2017.08.023

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Filename: CBM2017.pdf

Licence: CC-BY-NC-ND 4.0

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