Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets

Gooya, A., Lekadir, K., Castro Mateos, I. et al. (2 more authors) (2017) Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence. ISSN 0162-8828

Abstract

Metadata

Authors/Creators:
  • Gooya, A.
  • Lekadir, K.
  • Castro Mateos, I.
  • Pozo, J.M.
  • Frangi, A.F.
Copyright, Publisher and Additional Information: © 2017 Institute of Electrical and Electronics Engineers (IEEE). This is an author produced version of a paper subsequently published in IEEE Transactions on Pattern Analysis and Machine Intelligence. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Generative Modeling; Variational Bayes; Model Selection; Graphical Models; Statistical Shape Models
Dates:
  • Published (online): 2 May 2017
  • Accepted: 28 April 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 09 May 2017 10:14
Last Modified: 04 Jul 2018 12:51
Published Version: https://doi.org/10.1109/TPAMI.2017.2700276
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TPAMI.2017.2700276
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