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» Deriving Facial Articulation Models from Image Sequences
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ACCV
2006
Springer
14 years 1 months ago
Tracking with the Kinematics of Extremal Contours
Abstract. This paper addresses the problem of articulated motion tracking from image sequences. We describe a method that relies on an explicit parameterization of the extremal con...
David Knossow, Rémi Ronfard, Radu Horaud, F...
CVPR
2008
IEEE
14 years 9 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
VLSISP
1998
161views more  VLSISP 1998»
13 years 7 months ago
Automatic Recognition of Human Walking in Monocular Image Sequences
Abstract. In numerous content-based video applications, it is important to extract from a video sequence a representation for humans in motion. This task is di cult, because humans...
Jia-Ching Cheng, José M. F. Moura
CLOR
2006
13 years 11 months 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
ICB
2007
Springer
124views Biometrics» more  ICB 2007»
14 years 1 months ago
Face Authentication with Salient Local Features and Static Bayesian Network
In this paper, the problem of face authentication using salient facial features together with statistical generative models is adressed. Actually, classical generative models, and ...
Guillaume Heusch, Sébastien Marcel