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AVBPA
2001
Springer
145views Biometrics» more  AVBPA 2001»
13 years 9 months ago
Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
Carlos E. Thomaz, Duncan Fyfe Gillies, Raul Queiro...
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
13 years 10 months ago
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
Carlos E. Thomaz, Duncan Fyfe Gillies
CVPR
2004
IEEE
14 years 6 months ago
How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms
Recognition difficulty is statistically linked to ??? subject covariate factors such as age and gender for three face recognition algorithms: principle components analysis, an int...
Geof H. Givens, J. Ross Beveridge, Bruce A. Draper...
ECCV
2008
Springer
14 years 6 months ago
Estimating 3D Face Model and Facial Deformation from a Single Image Based on Expression Manifold Optimization
Facial expression modeling is central to facial expression recognition and expression synthesis for facial animation. Previous works reported that modeling the facial expression wi...
Shu-Fan Wang, Shang-Hong Lai
DAGM
2003
Springer
13 years 10 months ago
Automatic Pixel Selection for Optimizing Facial Expression Recognition Using Eigenfaces
A new direction in improving modern dialogue systems is to make a human-machine dialogue more similar to a human-human dialogue. This can be done by adding more input modalities, e...
Carmen Frank, Elmar Nöth