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» Deriving Facial Articulation Models from Image Sequences
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FGR
2011
IEEE
267views Biometrics» more  FGR 2011»
12 years 11 months ago
A dynamic approach to the recognition of 3D facial expressions and their temporal models
— In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive...
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic,...
TIP
2008
177views more  TIP 2008»
13 years 7 months ago
Visual Tracking in High-Dimensional State Space by Appearance-Guided Particle Filtering
Abstract--In this paper, we propose a new approach, appearance-guided particle filtering (AGPF), for high degree-of-freedom visual tracking from an image sequence. This method adop...
Wen-Yan Chang, Chu-Song Chen, Yong-Dian Jian
ICCV
2003
IEEE
14 years 1 months ago
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion ...
Hanning Zhou, Thomas S. Huang
ICPR
2006
IEEE
14 years 8 months ago
Performance driven facial animation using illumination independent appearance-based tracking
We introduce a procedure to estimate human face high level animation parameters from a marker-less image sequence in presence of strong illumination changes. We use an efficient a...
Enrique Muñoz, José Miguel Buenaposa...
CA
2002
IEEE
14 years 21 days ago
CoArt: Co-articulation Region Analysis for Control of 2D Characters
A facial analysis-synthesis framework based on a concise set of local, independently actuated, Coarticulation Regions (CR) is presented for the control of 2D animated characters. ...
Douglas Fidaleo, Ulrich Neumann