Web-based visualization of 3D geospatial data using Java3D

Spatial database servers allow for the storage and access of 3D geospatial data using open geospatial consortium standards. The Geospatial Database Online Visualization Environment (GeoDOVE) is a prototype 3D Web-based geographic information system that demonstrates how Java3D can reduce bandwidth and allow direct connectivity to spatially enabled database systems. We've developed GeoDOVE, a Java3D-based prototype system that retrieves geospatial data from conventional spatial database servers, allows modification of the visualization during runtime, and lets users remotely modify attributes using the structured query language (SQL).     

Electrical characterization of integrated passive devices using thin film technology for 3D integration

With the development of 3D integration technology,microsystems with vertical interconnects are attracting attention from researchers and industry applications.Basic elements of integrated passive devices(IPDs),including inductors,capacitors,and resistors,could dramatically save the footprint of the system,optimize the form factor,and improve the performance of radio frequency(RF) systems.In this paper,IPDs using thin film built-up technology are introduced,and the design and characterization of coplanar waveguides(CPWs),inductors,and capacitors are presented.     

3D建模与编程技术

3D建模与编程技术是3D应用软件实现中非常技巧和关键性的技术,目前应用比较广泛的有OpenGL,Direet3D,Java3D和VRML等。OpenGL主要用于底层软件和复杂场景建模软件的开发,Direet3D和Java3D主要应用于较高层次3D软件的快速开发,而VRML实质是一种描述性的3D建模语言,在Plug-in的支持下,可以增强Web的三维功能。对这四种技术的运行机理、实现机制和程序结构等作了较为详尽的阐述。     

集成化多媒体语言学习系统:系统结构与软件

针对现有各种类型多媒体语言学习系统多存在着操作界面层次较多等问题,介绍了一种类似“傻瓜”型的高性能价格比的集成式多媒体语言学习系统。     

Value creation and capture: a model of the software development process

Landmark Graphics supplies software and services to the upstream oil and gas industry. Our software portfolio, which ranges from exploration and drilling to data management and decision analysis, includes more than 60 products consisting of over 50 million lines of source code. For many years, Landmark has been collecting project metrics we wished to harvest to gain insight into key business questions in three areas: optimal release cycle duration (scope/time trade-off), optimal project staffing levels, effects of uncertainty. We set out to develop a relatively simple project dynamics model to use in conjunction with market sensitivity and economic analysis to help optimize profitability. Some of our ideas and results are similar to those of Preston Smith and Donald Reinertsen, who examined the impact of time-to-market sensitivity. However, our approach is a more detailed model tuned to software development issues.     

Kinect动作捕捉技术在三维动画教学中的应用与实践

针对传统三维角色动画制作成本高、时间长的问题,文章介绍了一种应用Kinect动作捕捉技术实现高效制作三维角色动画的方法。该方法借助Kinect体感摄像机捕捉真人的动作生成骨骼关节的关键帧数据并输出bvh动作路径文件,然后把bvh动作路径数据导入C4D软件中,就可以驱动角色模型完成角色动画的制作。把这种方法运用到三维角色动画教学实践中,有利于提高学生学习的兴趣和效率。     

3D Scene interpretation by combining probability theory and logic: The tower of knowledge

We explore a newly proposed system architecture, called tower of knowledge (ToK), in the context of labelling components of building scenes. The ToK architecture allows the incorporation of statistical feature distributions and logic rules concerning the definition of a component, within a probabilistic framework. The maximum likelihood method of label assignment is modified by being multiplied with a function, called utility function, that expresses the information coming from the logic rules programmed to the system. The logic rules are designed to define an object/component by answering the questions “why” and “how”, referring to the actions in which a particular object may be observed to participate and the characteristics it should have in order to be able to participate in these actions. Two sets of measurements are assumed to be available: those made initially for all components routinely, and which supply the initial statistically based inference of possible labels of each component, and those that are made in order to confirm or deny a particular characteristic of the component that would allow it to participate in a specific action. A recursive version of the architecture is also proposed, in which the distributions of the former types of measurement may be learnt in the process, having no training data at all. Multi-view images are used as input to the system, which uses standard techniques to build the 3D models of the buildings. The system is tested on labelling the components of 10 3D models of buildings. The components are identified either manually, or fully automatically. The results are compared with those obtained by expandable Bayesian networks. The recursive version of ToK proves to be able to cope very well even without any training data, where it learns the characteristics of the various components by simply applying the pre-programmed logic rules that connect labels, actions and attributes.     

A look at field manipulation and antenna design using 3D transformation electromagnetics and 2D surface electromagnetics

Frontiers of Information Technology & Electronic Engineering - While many techniques have been developed for the design of different types of antennas, such as wire antenna, patch antenna,...     

三维网格模型的分割及应用技术综述

对三维网格模型分割的定义、分类和应用情况做了简要回顾,介绍并评价了几种典型的网格模型分割算法,如分水岭算法、基于拓扑和几何信息的分割算法等;同时,对网格分割在几种典型应用中的研究工作进行了分类介绍和评价．最后对三维分割技术今后的发展方向做出展望．     

Innovative potential of 3D software applications in fashion and textile design

Advanced cloth simulation plug-in tools are increasingly being used by designers in movies, television, advertising and computer games, to take the strain out of creating and simulating realistic cloth effects for dressing virtual characters. This paper describes experiments into designing textiles and clothing using 3D graphics software and a digital cloth dynamics plug-in, which are an integral part of PhD research in progress. The methods used in testing the 3D software and the cloth dynamics plug-in illustrate the experiences of a designer/learner. The results identify designer/learner needs and expectations for the further educational development of the research and use of cloth simulation tools in textiles/fashion design in the near future.     

基于Skyline软件的三维Web系统设计与研发

本文讲述基于Skyline软件的三维web地理信息系统的解决方案。重点阐述了WEB可视化技术,以及如何利用Skyline系列软件在在网络环境下搭建一种三维地理信息系统,包括Skyline系列软件中Terra Builder的建模过程和调用Terra Explorer pro接口的过程。     

矢量与栅格结合的三维地质模型编辑方法

三维地质模型主要通过剖面构造．自动建模方法要求这些剖面基本平行,并且相邻剖面地质体的差别不能过大．本文针对剖面数据较少且不平行的情形,设计了人机交互的三维地质模型构造方法,利用普通多面体栅格化算法和由Marching Cubes算法得到的光栅矢量化,实现了光栅和矢量模型的相互转换．在保证模型间拓扑正确的基础上,提高了地质模型的编辑效率,并在实践中得到了检验．     

The illumination-invariant recognition of 3D objects using localcolor invariants

Traditional approaches to three dimensional object recognition exploit the relationship between three dimensional object geometry and two dimensional image geometry. The capability of object recognition systems can be improved by also incorporating information about the color of object surfaces. Using physical models for image formation, the authors derive invariants of local color pixel distributions that are independent of viewpoint and the configuration, intensity, and spectral content of the scene illumination. These invariants capture information about the distribution of spectral reflectance which is intrinsic to a surface and thereby provide substantial discriminatory power for identifying a wide range of surfaces including many textured surfaces. These invariants can be computed efficiently from color image regions without requiring any form of segmentation. The authors have implemented an object recognition system that indexes into a database of models using the invariants and that uses associated geometric information for hypothesis verification and pose estimation. The approach to recognition is based on the computation of local invariants and is therefore relatively insensitive to occlusion. The authors present several examples demonstrating the system's ability to recognize model objects in cluttered scenes independent of object configuration and scene illumination. The discriminatory power of the invariants has been demonstrated by the system's ability to process a large set of regions over complex scenes without generating false hypotheses     

基于八叉树GIS算法森林建模方法研究

研究森林资源真实形态建模问题.由于森林树数值特征和机体形态千变万化,数学模型很难表达真实性,传统的三维空间数据模型方法难以真实反映森林资源的复杂形态.为解决上述问题,采用了八叉树算法有效解决了森林模型的计算复杂性,同时又提出了多尺度八叉树细分算法,结合地理信息系统(GIS),构建真实三维森林形态模型.根据八叉树细分算法的形态对象,满足了数据多尺度组织和划分的需求,以空间体元建立起了各种树木对象之间的联系,为空间分析和森林资源的可视化提供了数据支持.仿真结果表明提出改进算法算法能准确高效地实现森林图像真实感,并能适合常见复杂条件下三维复杂森林形态模型的构建.     

Design and implementation of software for assembly and browsing of 3D brain atlases

Visualization software for three dimensional digital brain atlases present many challenges in design and implementation. These challenges include the design of an effective human interface, management of large data sets, display speed when slicing the data set for viewing/browsing, and the display of delineated volumes of interest (VOI). We present a software design, implementation and storage architecture that addresses these issues, allowing the user to navigate through a reconstructed volume quickly and smoothly, with an easy-to-use human interface. The software (macostat, for use with Macintosh OS) allows the user to rapidly display slices of the digital atlas at any arbitrary slicing angle, complete with delineated VOIs. The VOIs can be assigned colors of the user's choosing. The entire atlas, or selected portions, may be resliced with slices stored as individual image files, complete with delineations. These delineations may be transferred to corresponding sections of experimental materials using our analysis program (brain). The software may be obtained from the laboratory's web site: http://www.neuroterrain.org     

三维地质体重构中空间数据插值方法的研究

空间插值方法的选择是地质三维可视化当中能真实、准确的再现工程研究对象的关键要素。为此，本文针对建立三维地质体的体数据模型插值算法的特点，对各种常见空间插值方法的特点进行了比较分析。最后结合某矿区的实测勘探数据，采用Kriging方法进行了三维地质体的重构，取得了与工程现场较为一致的效果，证明了该方法在地矿领域的适用性。     

A new belief rule base knowledge representation scheme and inference methodology using the evidential reasoning rule for evidence combination

In this paper, we extend the original belief rule-base inference methodology using the evidential reasoning approach by i) introducing generalised belief rules as knowledge representation scheme, and ii) using the evidential reasoning rule for evidence combination in the rule-base inference methodology instead of the evidential reasoning approach. The result is a new rule-base inference methodology which is able to handle a combination of various types of uncertainty.Generalised belief rules are an extension of traditional rules where each consequent of a generalised belief rule is a belief distribution defined on the power set of propositions, or possible outcomes, that are assumed to be collectively exhaustive and mutually exclusive. This novel extension allows any combination of certain, uncertain, interval, partial or incomplete judgements to be represented as rule-based knowledge. It is shown that traditional IF-THEN rules, probabilistic IF-THEN rules, and interval rules are all special cases of the new generalised belief rules.The rule-base inference methodology has been updated to enable inference within generalised belief rule bases. The evidential reasoning rule for evidence combination is used for the aggregation of belief distributions of rule consequents.     

The impact of goods-classification and landmarks for spatial knowledge and goods-finding in the elderly within a 3D virtual store

Online shopping has become quite popular since its first arrival on the internet. Although numerous studies have been performed to investigate various issues related to the internet store, some research issues relating to the spatial cognition of the elderly (the fastest growing internet group) when exploring a 3D virtual store still await further empirical investigation. The objective of this study was to examine how elderly users acquire spatial knowledge in an on-screen virtual store. Specifically, the impact of different types of landmarks on the acquisition of spatial knowledge was examined. In addition, in this study, goods-classification was seen as an implicit landmark associated with the acquisition of spatial knowledge. Therefore, it is worth observing the impact during the location of the goods and examining the combined effect with landmarks. The experimental results indicated that landmarks are important for the elderly as they attempt to locate goods within a 3D virtual store, no matter what types are used. However, landmarks are not the only resources for constructing spatial knowledge in a 3D virtual store; the classification of goods is also a good resource and may be more important than landmarks. In addition, the combined effect of goods-classification and landmarks in a 2D image would be best for the elderly in terms of acquired spatial cognition and the location of goods within a 3D virtual store.