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In augmented reality (AR) systems, virtual objects, graphics or texts are added to the real scene to improve the person's perception. Virtual and real information must be aligned strictly in the combination of scenes. The key of augmented reality is 3D registration technology which is based on tracking the artificial marker in the scene effectively. Using linear programming theory, this paper presents...
Matrix completion is addressed to recover an unknown large low-rank matrix from a small subset of its entries. Several methods have been proposed for solving matrix completion problem. However, when the desired matrix becomes complicated and the rank is unknown, these traditional methods may not achieve promising performance. In this paper, a novel low-rank matrix completion algorithm based on nuclear...
The most important of skew correction for scanned document image is to estimate the skew angle. Traditional methods mostly based on its linear check, such as Hough transformation and so on. However, it is often affected by its texture structure or other noise. In this paper, a fast and robust skew estimation method is proposed based on low-rank matrix decomposition, which seeks an affine transformation...
The support vector machine (SVM) is well understood when kernel functions are positive definite. However, in practice, indefinite kernels arise and demand application in SVM. These indefinite kernels often yield good empirical classification results. However, they are hard to understand for missing geometrical and theoretical understanding. In this paper we focus our topic on the structure of feature...
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