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With the development of 3D technology, converting 2D videos available into 3D videos has been an important way to gain 3D contents. In the conversion, a crucial step is how to obtain a more accurate depth map. This paper proposes a method for depth extraction based on color and geometric information of the original image. Firstly, we generate a qualitative depth map by SVM and classify image scenes...
Recently, A new generation of network applications, such as P2P, has started to consume a large amount of network resources, thus produce several problems to network operators, which make the identification of network applications become a new and difficult challenge for both network operators and the network measurement community. Traditional identification techniques that rely on the well-known...
The algorithm based on multi-feature and SVM is proposed. The paper firstly uses wavelet de-noising for gait images. The text offers to use width descriptors as gait features and combines lower angle features. The kernel-based Fisher criterion and support vector machine is combined to classification and identification. The gait characteristic is extracted by KFDA, which can obtain the best projection...
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