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» Adaptation of SIFT Features for Robust Face Recognition
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CVPR
2011
IEEE
14 years 5 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
AHS
2006
IEEE
175views Hardware» more  AHS 2006»
14 years 11 months ago
Face Recognition Using a Gabor Filter Bank Approach
Face recognition is a challenging field of research not only because of the complexity of this subject, but also because of its numerous practical applications. Much progress has ...
Walid Riad Boukabou, Lahouari Ghouti, Ahmed Bourid...
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
15 years 3 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano
80
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ICPR
2006
IEEE
15 years 10 months ago
Adaptive Processing of Face Emotion Tree Structures
This paper describes a novel Recursive Neural Network for adaptive processing of FacE Emotion Tree Structures (FEETS). We proposed to use tree structures to represent Gabor Face E...
Jia-Jun Wong, Siu-Yeung Cho
DICTA
2003
14 years 11 months ago
3D Face Recognition Using Longitudinal Section and Transection
In this paper, a new practical implementation of a person verification system using features of longitudinal section and transection and other facial, rotation compensated 3D face ...
Yeung-hak Lee