liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Fitting 3D Face Models for Tracking and Active Appearance Model Training
Computer Vision Centre, Autonomous University of Barcelona, Edifici O, Campus UAB, Bellaterra, Barcelona, Spain.
Swedish Defence Research Agency (FOI), Linköping, Sweden.ORCID-id: 0000-0002-6763-5487
2006 (engelsk)Inngår i: Image and Vision Computing, ISSN 0262-8856, E-ISSN 1872-8138, Vol. 24, nr 9, s. 1010-1024Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In this paper, we consider fitting a 3D deformable face model to continuous video sequences for the tasks of tracking and training. We propose two appearance-based methods that only require a simple statistical facial texture model and do not require any information about an empirical or analytical gradient matrix, since the best search directions are estimated on the fly. The first method computes the fitting using a locally exhaustive and directed search where the 3D head pose and the facial actions are simultaneously estimated. The second method decouples the estimation of these parameters. It computes the 3D head pose using a robust feature-based pose estimator incorporating a facial texture consistency measure. Then, it estimates the facial actions with an exhaustive and directed search. Fitting and tracking experiments demonstrate the feasibility and usefulness of the developed methods. A performance evaluation also shows that the proposed methods can outperform the fitting based on an active appearance model search adopting a pre-computed gradient matrix. Although the proposed schemes are not as fast as the schemes adopting a directed continuous search, they can tackle many disadvantages associated with such approaches.

sted, utgiver, år, opplag, sider
Elsevier, 2006. Vol. 24, nr 9, s. 1010-1024
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-120513DOI: 10.1016/j.imavis.2006.02.025OAI: oai:DiVA.org:liu-120513DiVA, id: diva2:845469
Tilgjengelig fra: 2015-08-12 Laget: 2015-08-12 Sist oppdatert: 2018-01-11bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Person

Ahlberg, Jörgen

Søk i DiVA

Av forfatter/redaktør
Ahlberg, Jörgen
I samme tidsskrift
Image and Vision Computing

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 173 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf