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This paper presents a multi-view stereo depth-map merging algorithm for the Three-Dimensional (3D) Swept Volume Display. In this paper, we first transform the disparity map into the depth-map and do the two-dimensional filtering based on the continuity of the object's surface, then merging each filtered depth-map in the form of the first camera coordinate system, Finally, the repetitive voxel is filtered...
The dynamics-based 3D cloth simulation has very broad applications. Generally, it involves mathematical modeling, collision detection between objects, self-collision detection for deformable object, and numerical solution of differential equations. As a result, the final simulation software system is usually complex. On the other hand, currently no suitable open-source software systems are publicly...
Accompanying the development of the information systems, there is more and more research focused on the evaluation of information systems. However, the evaluation of the enterprise information systems has always been a thorny problem because of the complexity of the information systems. Through analysis of the existing research achievements both domestic and foreign, we find that some important factors...
This article studies contract design problems. Based on the introduction and analysis of existing contract models and contract design methods, introduces and analyzes the detailed design thoughts, methods and models of complete contract, compares the basic assumption of complete contract and incomplete contract, and analyzes the reasons of incompleteness. Besides, the article also introduces and analyzes...
Aimed at the case of more than one jamming source, a novel method of main-lobe jamming suppression and target angle parameter estimation was presented for missile-borne mono-pulse high-repetition stepped-frequency radar application. In the method, beamforming in modified azimuth-elevation coordinate system was did in order to obtain separable pattern function; eight channels including sum, azimuth-difference,...
Based on adaptive filtering and retinex method, this paper presents a novel algorithm for Enhancement of hand vein images. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Secondly, the Retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Thirdly, Gray cosine transform is used to...
The paper presents a distributed human tracking system based on pyroelectric sensors. The developing process of the system mainly includes two aspects: distributed tracking algorithm and self-calibration scheme. In the tracking algorithm, a distributed information filter is constructed with joint probabilistic data association (JPDA) and consensus method. The self-calibration utilizes Kullback-Leibler...
Single image dehazing has been a particularly important and active area of research in computer vision. One of the key problems of physics-based methods is the fast estimation of the transmission. Previous single image based methods, however, require some time-consuming optimization algorithms, making them impracticable for real-time applications. In this paper, we propose a novel edge-aware filter...
Denoising is an important problem in signal processing. This paper proposes an efficient two-phase method for salt-and-pepper noise removal. In the first phase, adaptive median filter is used to detect the contaminated pixels. Then in the second phase, the candidate pixels will be restored by minimizing a regularization functional. To end of this, a spectral conjugate gradient method is considered...
Two-way seamless communication is the key aspect of realizing the vision of smart grid. Reliable and real-time information becomes the key factor for reliable delivering of power from the generating units to the end-users. Given the smart grid use cases, this article is focused on proposing a cognitive based communication paradigm. The proposal is related to the hierarchical communication infrastructure,...
Particle Swarm Optimization (PSO) has proved to be an effective global optimization in recent years. However, PSO still suffers from the prematurity to local optima. In order to solve this disadvantage, researches have carried out by combination with other optimizers. In recent years, a local optimization called Extremal Optimization (EO) has been introduced into PSO and gain improvements. Although,...
Inverted index is a key component in a search engine. Due to the high update frequency of web pages, incremental inverted index is commonly used in modern web-based search engine. In order to improve the performance of search engine, an efficient data block and control block DB&CB structure for incremental inverted index is proposed. Theoretical analysis and experiment results show that the average...
Ontology provides means to describe concepts effectively. It has become an increasingly useful tool in understanding concepts in various fields of Information Systems and Technology. The aim of this paper is to build and evaluate an ontology that standardizes concepts and semantics of requirements modelling notations, in order to provide a common understanding of those concepts among software engineers...
T Manifold learning methods have widely used in ordinary image processing domain. It has many advantages, depending on the different formulation of the manifold. Hyperspectral images are kind of images acquired by air-borne or space-born platforms. This paper introduces a novel manifold learning method into hyperspectral classification. The purpose is to fully utilize the spectral and spatial information...
In the past few years, much attention has been paid on extending phrase-based statistical machine translation with syntactic structures. In this paper we introduce a novel syntax encapsulated phrase(SEP) model, in which treebank tag sequences are employed to decorate the bilingual phrase pairs. We use tag sequences, instead of phrase pairs, to train the lexicalized reordering model. Since the number...
Collapse is a typical hazard in highway tunnel excavation process, in order to evaluate the collapse risk level of tunneling activity, the potential loss should be estimated of five severity levels. In this paper, an evaluation algorithm based on the grey clustering theory is proposed, the influential factors of segmental collapse hazard encompass the rock mass classification, distance from the portal,...
Consulting to the achievement of customer loyalty in real world, we put customer E-Loyalty as the object of study, from the perspectives of customer perceived value, product value, switching costs, website technology and e-trust to explore the influencing factors of customer E-Loyalty to B2C retail website, with a view to benefit the development of B2C retail sites. We got data through questionnaires...
The standard support vector machine (SVM) is celebrated for its theoretically guaranteed generalization performance. However, it lacks sparsity and thus cannot be used for feature selection. Zero norm SVM is ideal in the sense of sparsity while its optimization is prohibitive due to the combinatorial nature of zero norm. In this paper, 1 norm and infinite norm constraints are employed simultaneously...
Mean-shift is an effective statistical iterative algorithm. In the iterative process, size of bandwidth has great impact on the accuracy and efficiency of the algorithm. It not only decides the number of sampling points in the iteration, but also affects the convergence speed and accuracy of the algorithm. So, the choice of bandwidth is very important. In this paper, bandwidth is calculated by using...
Detecting the spatial objects is an important research agenda for geospatial information science. Appling object-oriented image classification to extract GIS features, which fulfills the needs of updating the geospatial databases with remote sensing imagery will greatly enhance the ongoing digital city construction and national condition monitoring. This paper describes the key technology for high...
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