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Adaptive Generic Learning for Face Recognition from a Single Sample per Person
Adaptive Generic Face Recognition Single Sample per Person
2010/12/21
Real-world face recognition systems often have to face the single sample per person (SSPP) problem, that is, only a single training sample for each person is enrolled in the
database. In this case, m...
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition
Fusing Local Patterns Gabor Magnitude Phase Face Recognition
2010/12/21
Gabor features have been known to be effective for face recognition. However, only a few approaches utilize phase feature and they usually perform worse than those using magnitude
feature. To investi...
Maximizing Intra-individual Correlations for Face Recognition Across Pose Differences
Maximizing Intra-individual Correlations Face Recognition
2010/12/20
The variations of pose lead to significant performance decline in face recognition systems, which is a bottleneck in face recognition. A key problem is how to measure the
similarity between two image...
Illumination Transfer Using Homomorphic Wavelet Filtering and Its Application to Light-Insensitive Face Recognition
Homomorphic Wavelet Filtering Light-Insensitive Face Recognition
2010/12/17
In this paper, we propose a novel homomorphic wavelet filtering based illumination transfer technique to change the dominant lighting of one face image (source face image)to another face image (refere...
Gabor features have been recognized as one of the best representations for face recognition. Usually, only the magnitudes of the Gabor coefficients are thought of as being useful for face recognition,...
Coupled metric learning for face recognition with degraded images
Coupled metric learning face recognition
2010/12/20
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited performance, due to the...
Learned Local Gabor Patterns for Face Representation and Recognition
Learned Local Gabor Patterns Face Representation Recognition
2010/12/20
In thispaper,weproposeLearnedLocalGaborPatterns(LLGP)forfacerepresentation
and recognition.TheproposedmethodisbasedonGaborfeatureandtheconceptof
texton,anddefinesthefeaturecliqueswhichappearfrequent...
Hierarchical Ensemble of Global and Local Classifiers for Face Recognition
Hierarchical Ensemble of Global Local Classifiers Face Recognition
2010/12/20
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 fac...
Manifold-Manifold Distance with Application to Face Recognition based on Image Set
Manifold-Manifold Distance Face Recognition Image Set
2010/12/20
In this paper, we address the problem of classifying image sets, each of which contains images belonging to the same class but covering large variations in, for instance,
viewpoint and illumination. ...
Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models
Sign Language Recognition Transition-Movement Models
2010/12/16
The major challenges that sign language recognition (SLR) now faces are developing methods that solve largevocabulary continuous sign problems. In this paper, transitionmovement
models (TMMs) are pro...
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...
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...
Viewpoint invariance is a grand challenge for sign language recognition. In this paper, we propose a novel viewpoint invariant method for sign language recognition. The recognition task is converted t...
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...