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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...
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...
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...
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,...
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...
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...
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. ...
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...
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...
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...
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...
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...
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...
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 ...

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