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» Face recognition using spectral features
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FGR
1998
IEEE
203views Biometrics» more  FGR 1998»
14 years 1 months ago
Automated Facial Expression Recognition Based on FACS Action Units
Automated recognition of facial expression is an important addition to computer vision research because of its relevance to the study of psychological phenomena and the developmen...
James Jenn-Jier Lien, Takeo Kanade, Jeffrey F. Coh...
FGR
2004
IEEE
105views Biometrics» more  FGR 2004»
14 years 1 months ago
Multi-biometrics Using Facial Appearance, Shape and Temperature
We present results of the first study to examine individual and multi-modal face recognition using 2D, 3D and infrared images of the same set of subjects. Each sensor captures dif...
Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn,...
INTERSPEECH
2010
13 years 4 months ago
Nonlinear enhancement of onset for robust speech recognition
In this paper we present a novel algorithm called Suppression of Slowly-varying components and the Falling edge of the power envelope (SSF) to enhance spectral features for robust...
Chanwoo Kim, Richard M. Stern
MCS
2009
Springer
14 years 4 months ago
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data
The classification of hyperspectral imagery, using multiple classifier systems is discussed and an SVM-based ensemble is introduced. The data set is separated into separate featu...
Xavier Ceamanos, Björn Waske, Jon Atli Benedi...
BIOSIG
2010
143views Biometrics» more  BIOSIG 2010»
13 years 7 months ago
Fingerprint Recognition with Cellular Partitioning and Co-Sinusoidal Triplets
: In this fingerprint verification approach, a fingerprint image is divided into equally sized cells and the pattern is represented by a substitute resulting in a feature vector of...
Jan Hirzel, Daniel Hartung, Christoph Busch