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Culture develops from a civilization and progresses through the generations in tangible and intangible forms affecting various aspects of living. It gradually becomes a rulebook that guides the way of...
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require iterative minimization ...
In this paper, we propose a novel image super-resolution algorithm, referred to as interpolation based on transductive regression with local and globalconsistency (TRLGC). Our algorithmfirst con...
Abstract—The linear regression model is a very attractive toolto design effective image interpolation schemes. Some regression-based imageinterpolation algorithms have been proposedin the literature, ...
In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introdu...
State-of-the-art mobile visual search systems put emphasis ondeveloping compact visual descriptors [4][6], which enableslow bit rate wireless transmission instead of delivering an entire query image. ...
Evaluating and managing the effective delivery of ICT services is an issue that has been brought into sharper relief recently. This has been particularly prevalent in the UK public sector where the gr...
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...
Motivated by theoretical analysis of the curve fitting problem based on equivalent kernel, in this paper we propose a local adaptive learning and fusion model for side information interpolation in dis...
In this paper, we propose Learned Local Gabor Patterns (LLGP) for face representation and recognition. The proposed method is based on Gabor feature and the concept of texton, and defines the fe...
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dime...
Image matching is a fundamental task for many applications of computer vision. Today it is very popular to represent two matched images as two bags of local descriptors, and the classic RANSAC based m...
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
We propose a robust hierarchical background subtraction technique which takes the spatial relations of neighboring pixels in a local region into account to detect objects in difficult conditions. Our ...

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