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» Face Recognition Using Sift Features
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IBPRIA
2009
Springer
15 years 2 months ago
Gender Recognition from a Partial View of the Face Using Local Feature Vectors
This paper proposes a gender recognition scheme focused on local appearance-based features to describe the top half of the face. Due to the fact that only the top half of the face ...
Yasmina Andreu, Ramón Alberto Mollineda, Pe...
CRV
2007
IEEE
224views Robotics» more  CRV 2007»
15 years 3 months ago
Real-time eye blink detection with GPU-based SIFT tracking
This paper reports on the implementation of a GPUbased, real-time eye blink detector on very low contrast images acquired under near-infrared illumination. This detector is part o...
Marc Lalonde, David Byrns, Langis Gagnon, Normand ...
127
Voted
MM
2010
ACM
462views Multimedia» more  MM 2010»
14 years 9 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
CVPR
2004
IEEE
15 years 11 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...
AIPR
2005
IEEE
15 years 3 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman