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Efficient active appearance model for real-time head and facial feature tracking
Swedish Defence Research Agency (FOI), Linköping, Sweden.ORCID iD: 0000-0002-6763-5487
Linköping University, Department of Electrical Engineering, Image Coding. Linköping University, The Institute of Technology.
2003 (English)In: Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on, IEEE conference proceedings, 2003, 173-180 p.Conference paper (Refereed)
Abstract [en]

We address the 3D tracking of pose and animation of the human face in monocular image sequences using active appearance models. The classical appearance-based tracking suffers from two disadvantages: (i) the estimated out-of-plane motions are not very accurate, and (ii) the convergence of the optimization process to desired minima is not guaranteed. We aim at designing an efficient active appearance model, which is able to cope with the above disadvantages by retaining the strengths of feature-based and featureless tracking methodologies. For each frame, the adaptation is split into two consecutive stages. In the first stage, the 3D head pose is recovered using robust statistics and a measure of consistency with a statistical model of a face texture. In the second stage, the local motion associated with some facial features is recovered using the concept of the active appearance model search. Tracking experiments and method comparison demonstrate the robustness and out-performance of the developed framework.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2003. 173-180 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-120918DOI: 10.1109/AMFG.2003.1240840ISBN: 0-7695-2010-3OAI: diva2:849731
IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), Nice, France, 17 Oct. 2003
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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