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Face Model Adaptation for Tracking and Active Appearance Model Training
Linköping University, Department of Electrical Engineering, Image Coding. Linköping University, The Institute of Technology.
Swedish Defence Research Agency (FOI), Linköping, Sweden.ORCID iD: 0000-0002-6763-5487
2003 (English)In: Proceedings of the British Machine Vision Conference / [ed] Richard Harvey and Andrew Bangham, 2003, 57.1-57.10 p.Conference paper (Other academic)
Abstract [en]

In this paper, we consider the potentialities of adapting a 3D deformable face model to video sequences. Two adaptation methods are proposed. The first method computes the adaptation using a locally exhaustive and directed search in the parameter space. The second method decouples the estimation of head and facial feature motion. It computes the 3D head pose by combining: (i) a robust feature-based pose estimator, and (ii) a global featureless criterion. The facial animation parameters are then estimated with a combined exhaustive and directed search. Tracking experiments and performance evaluation demonstrate the feasibility and usefulness of the developed methods. These experiments also show that the proposed methods can outperform the adaptation based on a directed continuous search.

Place, publisher, year, edition, pages
2003. 57.1-57.10 p.
Keyword [en]
3D deformable models, face model adaptation, face tracking, active appearance models, analysis-by-synthesis approaches, human-computer interaction, learning
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-120919DOI: 10.5244/C.17.57ISBN: 1-901725-23-5OAI: diva2:849732
British Machine Vision Conference (BMVC)
Available from: 2015-08-31 Created: 2015-08-31 Last updated: 2015-09-21Bibliographically approved

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Ahlberg, Jörgen
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Image CodingThe Institute of Technology
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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