Generating 3D Morphable Model parameters for facial tracking: Factorising identity and expression
2012 (English)In: GRAPP 2012 IVAPP 2012 - Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, 2012, 309-318 p.Conference paper (Refereed)
The ability to factorise parameters into identity and expression parameters is highly desirable in facial tracking as it requires only the identity parameters to be set in the initial frame leaving the expression parameters to be adjusted in subsequent frames. In this paper we introduce a strategy for creating parameters for a data-driven 3D Morphable Model (3DMM) which are able to separately model the variance due to identity and expression found in the training data. We present three factorisation schemes and evaluate their appropriateness for tracking by comparing the variances between the identity coefficients and expression coefficients when fitted to data of individuals performing different facial expressions.
Place, publisher, year, edition, pages
2012. 309-318 p.
3D morphable models, Facial animation, PCA, Tracking
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-117339ScopusID: 2-s2.0-84862221505ISBN: 978-989856502-0OAI: oai:DiVA.org:kth-117339DiVA: diva2:601682
International Conference on Computer Graphics Theory and Applications, GRAPP 2012 and International Conference on Information Visualization Theory and Applications, IVAPP 2012, 24 February 2012 through 26 February 2012, Rome
QC 201301302013-01-302013-01-302013-01-30Bibliographically approved