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Facial Movement Based Recognition
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2011 (English)In: 5th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2011, 2011, 51-62 p.Conference paper, Published paper (Refereed)
Abstract [en]

The modelling and understanding of the facial dynamics of individuals is crucial to achieving higher levels of realistic facial animation. We address the recognition of individuals through modelling the facial motions of several subjects. Modelling facial motion comes with numerous challenges including accurate and robust tracking of facial movement, high dimensional data processing and non-linear spatial-temporal structural motion. We present a novel framework which addresses these problems through the use of video-specific Active Appearance Models (AAM) and Gaussian Process Latent Variable Models (GP-LVM). Our experiments and results qualitatively and quantitatively demonstrate the framework's ability to successfully differentiate individuals by temporally modelling appearance invariant facial motion. Thus supporting the proposition that a facial activity model may assist in the areas of motion retargeting, motion synthesis and experimental psychology.

Place, publisher, year, edition, pages
2011. 51-62 p.
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-50671DOI: 10.1007/978-3-642-24136-9_5Scopus ID: 2-s2.0-80054875868ISBN: 9783642241352 (print)OAI: oai:DiVA.org:kth-50671DiVA: diva2:462364
Conference
5th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2011. Rocquencourt. 10 October 2011 - 11 October 2011
Note

QC 20111208

Available from: 2011-12-07 Created: 2011-12-07 Last updated: 2017-03-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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