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» Face recognition using mixtures of principal components
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FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
13 years 11 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre
FGR
1998
IEEE
165views Biometrics» more  FGR 1998»
13 years 12 months ago
Face Similarity Space as Perceived by Humans and Artificial Systems
The performance of a local feature based system, using Gabor-filters, and a global template matching based system, using a combination of PCA (Principal Component Analysis) and LD...
Peter Kalocsai, Wenyi Zhao, Egor Elagin
ICPR
2006
IEEE
14 years 8 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan
TSMC
2008
95views more  TSMC 2008»
13 years 7 months ago
Natural Movement Generation Using Hidden Markov Models and Principal Components
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
Junghyun Kwon, Frank C. Park
INTERSPEECH
2010
13 years 2 months ago
Improved language recognition using mixture components statistics
One successful approach to language recognition is to focus on the most discriminative high level features of languages, such as phones and words. In this paper, we applied a simi...
Abualsoud Hanani, Michael J. Carey 0002, Martin J....