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» Learning 3D Appearance Models from Video
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AMFG
2003
IEEE
168views Biometrics» more  AMFG 2003»
14 years 14 days ago
Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using Active Appearance Models. The classical appearancebased tracking su...
Fadi Dornaika, Jörgen Ahlberg
ECCV
2004
Springer
14 years 10 months ago
Light Field Appearance Manifolds
Abstract. Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambert...
Chris Mario Christoudias, Louis-Philippe Morency, ...
CLOR
2006
14 years 16 days ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
3DPVT
2002
IEEE
193views Visualization» more  3DPVT 2002»
14 years 1 months ago
Modeling shapes and textures from images: new frontiers
Increasingly, models of the world are directly built from images. The paper discusses a number of recent developments that try to push the enveloppe of what image-based modeling c...
Luc J. Van Gool, D. Vandemeulen, Gregor A. Kalbere...
BMVC
1998
13 years 10 months ago
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna