Facial Movement Based Recognition
2011 (English)In: 5th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2011, 2011, 51-62 p.Conference paper (Refereed)
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.
, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 03029743
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-50671DOI: 10.1007/978-3-642-24136-9_5ScopusID: 2-s2.0-80054875868ISBN: 03029743OAI: oai:DiVA.org:kth-50671DiVA: diva2:462364
5th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, MIRAGE 2011. Rocquencourt. 10 October 2011 - 11 October 2011
QC 201112082011-12-072011-12-072011-12-08Bibliographically approved