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FGR
2008
IEEE
269views Biometrics» more  FGR 2008»
15 years 6 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...
ICPR
2010
IEEE
14 years 9 months ago
Regression-Based Multi-view Facial Expression Recognition
We present a regression-based scheme for multi-view facial expression recognition based on 2-D geometric features. We address the problem by mapping facial points (e.g. mouth corn...
Ognjen Rudovic, Ioannis Patras, Maja Pantic
CA
2003
IEEE
15 years 5 months ago
Improvements on a Simple Muscle-Based 3D Face for Realistic Facial Expressions
Facial expressions play an important role in face-to-face communication. With the development of personal computers capable of rendering high quality graphics, computer facial ani...
The Duy Bui, Dirk Heylen, Anton Nijholt
COMPSYSTECH
2009
14 years 9 months ago
A Bayesian approach to recognise facial expressions using vector flows
: Facial expressions play an important role in human nonverbal communication. They can be generated by activation and dilatation of facial muscles. In this paper we describe a syst...
Xiaofan Sun, Léon J. M. Rothkrantz, Dragos ...
ICIP
2009
IEEE
16 years 27 days ago
Facial Expression Recognition Based On Graph-preserving Sparse Non-negative Matrix Factorization
In this paper, we present a novel algorithm for representing facial expressions. The algorithm is based on the non-negative matrix factorization (NMF) algorithm, which decomposes ...