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» An Improvement on PCA Algorithm for Face Recognition
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NIPS
2004
15 years 1 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
FGR
2006
IEEE
180views Biometrics» more  FGR 2006»
15 years 5 months ago
A New Look at Filtering Techniques for Illumination Invariance in Automatic Face Recognition
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
Ognjen Arandjelovic, Roberto Cipolla
CVPR
2009
IEEE
16 years 6 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
AVSS
2006
IEEE
15 years 5 months ago
Combined 2D/3D Face Recognition Using Log-Gabor Templates
The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this pape...
Jamie Cook, Chris McCool, Vinod Chandran, Sridha S...
ICB
2009
Springer
355views Biometrics» more  ICB 2009»
15 years 6 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centere...
Chris Boehnen, Tanya Peters, Patrick J. Flynn