基于形变模型由立体序列图象恢复物体的3D形状

结合立体视觉和形变模型提出了一种新的物体3D形状的恢复方法。采用立体视觉方法导出物体表面的3D坐标;利用光流模型估计物体的3D运动,根据此运动移动形变模型,使其对准物体的表面块;由形变模型将由各幅图象得到的离散的3D点融为一起,得到物体的表面形状。实验结果表明该方法能用于形状复杂的物体恢复。     

木工数字化智能雕刻系统关键技术的研究

一、引言 数控雕刻机系统在机加工和模具等行业已得到广泛应用,并产生显著效益,但现有系统对复杂3D(三维)型面花纹的建模设计与雕刻加工、3D雕刻实物的仿制和图形图象的智能化处理、产品动态仿真和虚拟制造等能力的缺乏,使得现有雕刻机在需求艺术雕刻的众多领域的推广应用举步蹒跚.     

基于数字图像的数控雕刻技术研究

通过对图像格式识别与输入、图像质量改善、图像边缘提取和增强,进行了基于图像的数控雕刻系统研究.着重研究了直接图像影像加工和图像边缘加工两种加工方法,给出了它们的具体思路和方法,并结合PC 运动控制器的开放式数控加工思路,研制了基于图像的数控雕刻系统,仿真和实际加工表明,该系统能够获得满意的加工效果.     

基于物体特征有效提取和离散点三维重建的3D扫描系统原型研究

针对3D扫描技术的近期发展情况,以及市场关于被摄物体特征有效提取的迫切需求,通过系统的对照相机和投影仪测量的方法与计算,利用离散点三维重建算法、标准化算法详细分析了,作为3D扫描原型系统的关键技术,并深入的对三维坐标重复演算的过程,进行了实践研究与计算,论证了基于投影光编码技术的3D扫描仪原型系统,在物体特征有效提取和离散点三维重建中完全可以高效应用;同时,使用焦距标准化运算、逆向倾角变形运算、逆向扭曲变形运算三种方法,综合论述了物体特征有效提取和离散点三维重建过程的相关内容,测试了原型系统对真实文物的扫描情况,展开了该原型系统可应用于不同材料,不同种类物体的扫描,并能有效的进行数字化物体特征识别的研究结论。     

基于RGB-D视频流的室内环境3D目标高效检测

由于室内复杂环境RGB-D扫描数据不完整、物体相互遮挡等缺陷,以及表示部分场景的单帧数据输入的局限性,导致难以通过一次操作高效检测室内场景中的所有3D目标物体.为了克服难以感知获取室内场景中全部物体信息以及场景3D目标检测效率低等的难点,提出一种基于RGB-D视频流的室内环境3D目标高效检测方法.首先,利用Kinect...     

低质量渲染图像的目标物体6D姿态估计

从图像中获取目标物体的6D位姿信息在机器人操作和虚拟现实等领域有着广泛的应用,然而,基于深度学习的位姿估计方法在训练模型时通常需要大量的训练数据集来提高模型的泛化能力,一般的数据采集方法存在收集成本高同时缺乏3D空间位置信息等问题.鉴于此,提出一种低质量渲染图像的目标物体6D姿态估计网络框架.该网络中,特征提取部分以单张RGB图像作为输入,用残差网络提取输入图像特征;位姿估计部分的目标物体分类流用于预测目标物体的类别,姿态回归流在3D空间中回归目标物体的旋转角度和平移矢量.另外,采用域随机化方法以低收集成本方式构建大规模低质量渲染、带有物体3D空间位置信息的图像数据集Pose6DDR.在所建立的Pose6DDR数据集和LineMod公共数据集上的测试结果表明了所提出位姿估计方法的优越性以及大规模数据集域随机化生成数据方法的有效性.     

木工数字化智能雕刻系统关键技术的研究

一、引言 　　数控雕刻机系统在机加工和模具等行业已得到广泛应用,并产生显著效益,但现有系统对复杂3D(三维)型面花纹的建模设计与雕刻加工、3D雕刻实物的仿制和图形图象的智能化处理、产品动态仿真和虚拟制造等能力的缺乏,使得现有雕刻机在需求艺术雕刻的众多领域的推广应用举步蹒跚.……     

木工数字化智能雕刻系统关键技术的研究

现有雕刻机系统在复杂3D雕刻花纹的建模、二维图象或图形到3D模型的自动转换及3D实物的仿制等方面的功能大大受到限制,使得数字化雕刻在古典家具、石才、木材、建筑装饰材料等需求艺术雕刻的的行业难以得到推广应用.本文针对木工数字化艺术雕刻的特点,就复杂雕刻型面一体化智能建模、建立以中国传统雕刻花纹为主的雕刻图形数据库等关键技术提出了解决方案和实现途径,构建的系统更具智能化、敏捷化和实用性,能满足高品质、大批量雕刻艺术产品的需要.     

面向Java 3D的CAD模型简化与转换

三维图形仿真的一个重要工作就是建立三维模型,若使用已有的模型可以节省一定的时间.文中主要讨论了如何将复杂的CAD模型应用于Java3D建立的图形仿真系统中.首先,对已有的Pro/E模型进行简化,以VRML格式导出,有两种方式应用于Java3D中.一种是直接编辑Pro/E模型导出的VRML格式文件,组织模型之间的链接关系;另一种是将Pro/E模型导出的VRML格式文件导入到3DMax中组织链接关系,然后导出为单一文件.最后联合使用这两种方式将一个复杂的空间机器人模型导入到Java3D,提高了图形数据的重用性和开发的快速性,经实践验证效果理想.     

基于线画图案的三维模型雕刻

基于二维线画图案,提出了一种三维模型表面雕刻方法,实现了简单模型表面复杂线画图案的雕刻.首先对用户输入的二维线画图通过边缘收缩操作提取线条中心线,并将其作为雕刻轮廓线;然后对待雕刻的三维模型进行参数化,将二维雕刻轮廓线离散化并借助参数化映射为三维模型上的离散雕刻线条;再计算模型待雕刻区域上的顶点到三维模型上的离散雕刻线条的距离,对于距离小于特定阈值的雕刻顶点,根据雕刻函数确定顶点平移距离;最后对雕刻顶点沿顶点法向进行平移,得到三维模型的雕刻效果.实验结果表明,该方法能够方便、高效地实现简单三维模型表面的复杂线画图案雕刻效果.     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.