We study the localization of probability distribution in a discrete quantum random walk on an infinite chain. With a phase defect introduced in any position of the quantum random walk (QRW), we have found that the localization of the probability distribution in the QRW emerges. Different localized behaviors of the probability distribution in the QRW are presented when the defect occupies differ...

The combination of high-resolution chemically sensitive soft X-ray microscopy with stereo imaging and processing techniques presented here forms a novel tool for the investigation of aqueous colloidal systems. Information about the spatial distribution within the sample is provided with small calculation effort processing just a pair of stereo micrographs. Thus, the extension towards investigat...

We present the results of a search for small-scale anisotropy in the distribution of arrival directions of cosmic rays above 10 19 eV measured in stereo by the High Resolution Fly's Eye (HiRes) experiment. Performing an autocorrelation scan in energy and angular separation, we find that the strongest correlation signal in the HiRes stereo data set recorded between December 1999 and January 2004...

Finding correspondences between sensor measurements obtained at different places is a fundamental task for an autonomous mobile robot. Most matching methods search correspondences between salient features extracted from such measurements. However, finding explicit matches between features is a challenging and expensive task. In this paper we build a local map using a stereo head aided by sonars...

We propose a method to observe cardiac beat from 3D shape information of body surface by using grid-based active stereo, and report preliminary experiments to evaluate validities of the proposed method. By comparing results of our proposed with those of electrocardiogram (ECG), we confirmed sufficient correspondences between peak intervals of inter-frame depth changes measured by the active ste...

The Intelligent Vision Agent System, IVAS, is a system for automatic target detection, identification and information processing for use in human activities surveillance. This system consists of multiple sensors, and with control of their deployment and autonomous servo. Finding the optimal configuration for these sensors in order to capture the target objects and their environment to a require...

ÐThis paper describes a novel framework for comparing and matching corrupted relational graphs. The paper develops the idea of edit-distance originally introduced for graph-matching by Sanfeliu and Fu [1]. We show how the Levenshtein distance can be used to model the probability distribution for structural errors in the graph-matching problem. This probability distribution is used to locate mat...

We introduce a novel learning-based, visibility-aware, surface reconstruction method for large-scale, defect-laden point clouds. Our approach can cope with the scale and variety of cloud defects encountered in real-life Multi-View Stereo (MVS) acquisitions. relies on 3D Delaunay tetrahedralization whose cells are classified as inside or outside by graph neural network an energy model solvable c...

Objective- To evaluate the biological compatibility of differentiated stem cells embedded in poly-vinyl-alcohol (PVA) scaffolds for repair of distal femoral cartilage defect.   Design- Experimental in vivo study. Animals- Twelve adult male New Zealand white rabbits were used which were divided into two groups (I, II) six rabbits each.   Procedures- Mesenchymal stem cells were isolated from h...

today radiology and imaging are the only and main method to generate geometrical data from body. 3d model of the body will give us the best and reliable information for better understanding and diagnostic. on the other hand with development of cad/cam and rapid prototyping, the 3d printers were born to build 3d models without considering the geometry. today the 3d printers are able to makes a 3...