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Generating 3D Morphable Model parameters for facial tracking: Factorising identity and expression
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
2012 (engelsk)Inngår i: 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, s. 309-318Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2012. s. 309-318
Emneord [en]
3D morphable models, Facial animation, PCA, Tracking
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-117339Scopus ID: 2-s2.0-84862221505ISBN: 978-989856502-0 (tryckt)OAI: oai:DiVA.org:kth-117339DiVA, id: diva2:601682
Konferanse
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
Merknad

QC 20130130

Tilgjengelig fra: 2013-01-30 Laget: 2013-01-30 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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Totalt: 116 treff
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