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» Motion Field Histograms for Robust Modeling of Facial Expres...
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CVPR
2003
IEEE
14 years 8 months ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
CVPR
2008
IEEE
14 years 14 days ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
CHI
2004
ACM
14 years 6 months ago
Categorical imperative NOT: facial affect is perceived continuously
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing applications. Most computational models assume "categorical perception"...
Diane J. Schiano, Sheryl M. Ehrlich, Kyle Sheridan
ICPR
2008
IEEE
14 years 13 days ago
Finite element modeling of facial deformation in videos for computing strain pattern
We present a finite element modeling based approach to compute strain patterns caused by facial deformation during expressions in videos. A sparse motion field computed through ...
Vasant Manohar, Matthew Shreve, Dmitry B. Goldgof,...
FGR
2002
IEEE
197views Biometrics» more  FGR 2002»
13 years 11 months ago
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques
This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head from an input video using a cylindrical head model. Given an initial reference...
Jing Xiao, Takeo Kanade, Jeffrey F. Cohn