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» Deriving Facial Articulation Models from Image Sequences
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ICIP
1998
IEEE
14 years 6 months ago
Deriving Facial Articulation Models from Image Sequences
In this paper, human facial articulation models are derived from frontal and side view image sequences using connected vibrations non-rigid motion tracking algorithm. First, a 3D ...
Hai Tao, Thomas S. Huang
FGR
1996
IEEE
186views Biometrics» more  FGR 1996»
13 years 8 months ago
Cardboard People: A Parameterized Model of Articulated Image Motion
We extend the work of Black and Yacoob on the tracking and recognition of human facial expressions using parameterized models of optical flow to deal with the articulatedmotion of...
Shanon X. Ju, Michael J. Black, Yaser Yacoob
ICIP
1997
IEEE
14 years 6 months ago
Model-Based Estimation of Facial Expression Parameters from Image Sequences
In this paper we present a model-based algorithm for the estimation of 3D motion and the analysis of facial expressions of a speaking person. A set of facial animation parameters ...
Peter Eisert, Bernd Girod
ICCV
2011
IEEE
12 years 4 months ago
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
Joao Fayad, Chris Russell, Lourdes Agapito
FGR
2008
IEEE
269views Biometrics» more  FGR 2008»
13 years 11 months ago
Real-time facial expression recognition with illumination-corrected image sequences
We present a real-time user-independent computer vision system that processes a sequence of images of a front-facing human face and recognises a set of facial expressions at 30 fp...
He Li, José Miguel Buenaposada, Luis Baumel...