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Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition
Gabor Phase Patterns Representation Approach Face Recognition
2010/12/16
A novel object descriptor, histogram of Gabor phase pattern (HGPP), is proposed for robust face recognition. In HGPP,the quadrant-bit codes are first extracted from faces based on the
Gabor transform...
Locally Linear Regression for Pose Invariant Face Recognition
Locally Linear Regression Pose Invariant Face Recognition
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably,which is one of the bottlenecks in face recognition. One of the
possible solutions is ge...
Selected Local Gabor Binary Patterns Based On Mutual Information For Face Recognition
Selected Local Gabor Binary Patterns Mutual Information For Face Recognition
2010/12/16
Appropriate representation is one of the keys to the success of face recognition technologies.
In this paper, we present a novel face representation approach using a reduced
set of local histograms ...
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Global Local Classifiers Face Recognition
2010/12/17
In the literature of psychophysics and neurophysiology,many studies have shown that both global and local features are crucial for face representation and recognition. This paper proposes a novel face...
Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes
Face Recognition Algorithms Illumination Changes
2010/12/16
This paper details the results of a face verification competition [2] held in conjunction with the Second International Conference on Biometric Authentication. The contest was held on the publically a...
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor Fisher Classifier Face Recognition
2010/12/16
Gabor feature has been widely recognized as one of the best representations for face recognition. However,traditionally, it has to be reduced in dimension due to
curse of dimensionality. In this pape...
Local Linear Regression (LLR) for Pose Invariant Face Recognition
Local Linear Regression Pose Invariant Face Recognition
2010/12/16
The variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. One of the possible s...
Face Recognition under Varying Lighting Based on the Probabilistic Model of Gabor Phase
Face Recognition Varying Lighting the Probabilistic Model of Gabor Phase
2010/12/16
This paper present a novel method for robust illumination-tolerant face recognition based on the Gabor phase and a probabilistic similarity measure.Invited by the work in Eigenphases [1] by using the ...
Ensemble of Piecewise FDA Based on Spatial Histograms of Local (Gabor) Binary Patterns for Face Recognition
Ensemble ofPiecewise FDA Spatial Histograms of Local (Gabor) Binary Patterns Face Recognition
2010/12/16
Spatial histogram* of Local Binary Pattern (LBP)and Local Gabor Binary Pattern (LGBP) has been
successfully applied to face recognition and achieved state-of-the-art performance. Both LBP and LGBP ut...
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
Discriminant Analysis Face Recognition
2010/12/16
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently.However, the training process of KFDA is too time consuming (even intractable) for a large trainin...
Are Gabor Phases Are Really Useless for Face Recognition.
Patch-Based Gabor Fisher Classifier for Face Recognition
Patch-Based Gabor Fisher Classifier Face Recognition
2010/12/16
Face representations based on Gabor features have achieved great success in face recognition, such as Elastic Graph Matching, Gabor Fisher Classifier (GFC), and AdaBoosted Gabor Fisher Classifier (AGF...
Nonlinear Face Recognition based on Maximum Average Margin Criterion
Nonlinear Face Recognition Maximum Average Margin Criterion
2010/12/15
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Machine with the Kernel ...
Multi-resolution Histograms of Local Variation Patterns (MHLVP) for Robust Face Recognition
Multi-resolution Histograms Local Variation Patterns Robust Face Recognition
2010/12/15
Abstract. This paper presents a novel approach to face recognition, named Multi-resolution Histograms of Local Variation Patterns (MHLVP), in which face images are represented as the concatenation of ...
Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction
Face Recognition Arbitrary Illumination 3D Face Reconstruction
2010/12/15
Abstract. Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting condition s...