The entanglement entropy in Kondo impurity systems is studied analytically using conformal field theory. From the impurity contribution to the scaling corrections of the entanglement entropy we extract information about the screening cloud profile for general non-Fermi-liquid fixed points. By also considering the finite-temperature corrections to scaling of the von Neumann entropy we point out ...

Point clouds are usually represented either globally, as surfaces, or locally, as sets of points with small neighbourhoods. We propose an intermediate representation, called ribbons, which is obtained by partitioning a point cloud into one-dimensional strips. This representation is well suited to the placement of strokes in non-photorealistic rendering, and can be visualized efficiently using q...

In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers from class overlap. We propose a novel approach for describing clouds of points based on support vector data description (SVDD). We show that combining SVDD-based classifiers improves the retrieval precision. We investigate the ...

A new approach for vanishing point detection is described. This method is based on the theorem of Thales. The main contribution of this paper is the automatic and simultaneous detection of all vanishing points of the image that consists in detecting circles in a complex cloud of points. This extraction is performed without any prior knowledge of the internal calibration. An analysis of the erro...

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

Optical imagery and range data can be registered to create photo-realistic scene models via texture mapping. Presented in this paper is an alternative approach where true colour (RBG) point clouds are generated by automatically fusing a close-range optical (RGB) image acquired with an uncalibrated digital camera with the corresponding high-density 3D lidar point cloud collected with a terrestri...

Cloud computing is a new discussion in enterprise IT. It has already become popular in terms of distributed technology in some companies. It enables managers to setup and run the intended businesses by avoiding excessive spending on computers, software and hiring expert staff, which proves to be cost effective. Cloud computing also helps users pay for the IT services without spending massive am...

The automatic 3d modeling of an environment using images is still an active topic in Computer Vision. Standard methods have three steps: moving a camera in the environment to take an image sequence, reconstructing the geometry of the environment, and applying a dense stereo method to obtain a surface model of the environment. In the second step, interest points are detected and matched in image...

A method is introduced for detecting changes from point clouds that avoids registration. For many applications, changes are detected between two scans of the same scene obtained at different times. Traditionally, these scans are aligned to a common coordinate system having the disadvantage that this registration step introduces additional errors. In addition, registration requires stable target...

The Mobile Cloud Computing is a promising technology that has provided a way to overcome the limitations of the mobile devices. The advancement of mobile devices technology has made the applications of these devices more complex and resource famished. Mobile cloud computing has created opportunities to execute these applications on the mobile devices by migrating the compute intensive task to t...