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This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts—the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a ‘scalar’ to measure the depth value of the foreground object. Finally, the depth...
In this paper we consider the single machine total weighted completion scheduling problem with availability constraints. The machine is subject to many periods of maintenances. To solve this problem, we propose some lower bounds. A computational experiments and analysis are given afterwards to test the efficiency of the proposed lower bounds.
The computational complexity of a texture classification algorithm is limited by the dimensionality of the feature space. A feature selection algorithm that can reduce the dimensionality of problem is often desirable, which has been studied by many authors because of its impact on the complexity of classifiers, Furthermore, feature selection in high dimension space is a NP hard problem. This paper...
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