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The Workshop on Open Domain Action Recognition (ODAR) will be held in conjunction with the CVPR 2017 conference. Action recognition has received increasing attention from the computer vision and mac...
The workshop will mark the last of the ImageNet Challenge competitions, and focus on unanswered questions and directions for the future. The workshop will 1) present current results on the challenge c...
This workshop will focus on the role of computer vision and pattern recognition in forensic applications, with special emphasis on media forensics. There are a number of areas in the computer vision a...
In this article, we propose a new method for parametric representation of human’s lips region. The functional diagram of the method is described and implementation details with the explanation of its ...
2017 the Second International Workshop on Pattern Recognition (IWPR 2017) will be held in Singapore during May 1-3, 2017.The conference provides opportunities for the delegates of different areas fro...
The 14th IAPR International Conference on Document Analysis and Recognition (ICDAR 2017) will be taken place in Kyoto, Japan. Kyoto is one of the most popular destinations in Japan. Approximately 50 m...
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 thispaper,weproposeLearnedLocalGaborPatterns(LLGP)forfacerepresentation and recognition.TheproposedmethodisbasedonGaborfeatureandtheconceptof texton,anddefinesthefeaturecliqueswhichappearfrequent...
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. ...

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