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» On optimizing subspaces for face recognition
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ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
ISVC
2005
Springer
14 years 1 months ago
Investigating the Impact of Face Categorization on Recognition Performance
Face recognition is a key biometric technology with a wide range of potential applications both in government and private sectors. Despite considerable progress in face recognition...
Konstantinos Veropoulos, George Bebis, Michael A. ...
BVAI
2007
Springer
14 years 2 months ago
Incremental Subspace Learning for Cognitive Visual Processes
In real life, visual learning is supposed to be a continuous process. Humans have an innate facility to recognize objects even under less-than-ideal conditions and to build robust ...
Bogdan Raducanu, Jordi Vitrià
AVSS
2009
IEEE
14 years 1 months ago
Compact Signatures for 3D Face Recognition under Varying Expressions
We present a novel approach to 3D face recognition using compact face signatures based on automatically detected 3D landmarks. We represent the face geometry with inter-landmark d...
Fahad Daniyal, Prathap Nair, Andrea Cavallaro
CVPR
2006
IEEE
14 years 10 months ago
Optimal Pose for Face Recognition
Researchers in psychology have well studied the impact of the pose of a face as perceived by humans, and concluded that the so-called 3/4 view, halfway between the front view and ...
Xiaoming Liu 0002, Jens Rittscher, Tsuhan Chen