Education-driven research in CAD

We argue for a new research category, named education-driven research (EDR), which fills the gap between traditional field-specific research that is not concerned with educational objectives and research in education that focuses on fundamental teaching and learning principles and possibly on their customization to broad areas (such as mathematics or physics), but not to specific disciplines (such as CAD). The objective of EDR is to simplify the formulation of the underlying theoretical foundations and of specific tools and solutions in a specialized domain, so as to make them easy to understand and internalize. As such, EDR is a difficult and genuine research activity, which requires a deep understanding of the specific field and can rarely be carried out by generalists with primary expertise in broad education principles. We illustrate the concept of EDR with three examples in CAD: (1) the Split and Tweak subdivisions of a polygon and its use for generating curves, surfaces, and animations; (2) the construction of a topological partition of a plane induced by an arbitrary arrangement of edges; and (3) a romantic definition of the minimal and Hausdorff distances. These examples demonstrate the value of using analogies, of introducing evocative terminology, and of synthesizing the simplest fundamental building blocks. The intuitive understanding provided by EDR enables the students (and even the instructor) to better appreciate the limitations of a particular solution and to explore alternatives. In particular, in these examples, EDR has allowed the author to: (1) reduce the cost of evaluating a cubic B-spline curve; (2) develop a new subdivision curve that is better approximated by its control polygon than either a cubic B-spline or an interpolating 4-point subdivision curve; (3) discover how a circuit inclusion tree may be used for identifying the faces in an arrangement; and (4) rectify a common misconception about the computation of the Hausdorff error between triangle meshes. We invite the scientific community to encourage the development of EDR by publishing its results as genuine research contributions in peer-reviewed professional journals.     

A clustering method for automatic biometric template selection

The problem addressed in this paper is the template selection and update in biometrics based on clustering. Template selection is a reliable method to reduce the number of templates used in a biometric system to account for variations observed in a person's biometric data. An efficient method based on clustering with automatic selection of the number of clusters is proposed in this work for finding subgroups of similar templates which are used for prototype selection.Experimental results confirm the advantage of the new method and the importance of adopting a procedure to perform template selection.     

基于JSF框架的Web应用研究

JSF是一种快速开发WEB应用程序用户界面的框架．它弥补了传统Java平台开发慢、没有事件驱动等缺陷。探讨了JSF框架的运行机制度应用的具体细节，详细介绍了JSF的用户界面组件模型。     

Identification of human face profiles by computer

Human face profiles are automatically recognized by computer processes. Artists' tracings of profile photographs are scanned into a minicomputer. Fiducial marks, automatically placed, serve as key loci for establishing geometric measures such as distances, angles, and areas. “Features” established by these measures comprise 10-dimensional vectors which uniquely represent the face profiles. “Unknown” feature vectors are compared to stored files of vectors to determine similarity and to establish identification. Euclidean distance measures are supplemented by file-reducing techniques based on a priori similarity measures which eliminate unlikely candidates. Absolute recognition accuracy ranges from 86 to nearly 100% under various conditions for a population of 121 persons having 3 poses each on file.     

APPLICATION RESEARCH OF COMBINATION PRINCIPLE IN CAD FEATURE RECOGNIZATION

The method of extracting the basic features of part from the file of STEP AP214 of 3-D model is proposed. All faces in the file are the minimal elements. The combination is done for the faces with geometry restrictions and some attributes by the theory of the best alphabetic tree which is constructed by HU-TUCKER algorithm in combination principle. So the basic features could be attained. This provides the research basis to the more share and integration of CAD information in the virtual enterprises. Finally, a case is used to illustrate the validity of the approach.     

基于眼睛特征的人脸检测方法*

由于眼球的灰度级较低,而眼球周围白色区域的灰度级较高,因此在其交界处灰度级产生强烈突变。利用这一特征先从图像中找出可能的眼睛对,定位可能的人脸区域,通过计算其对称性来确定各种人脸特征的存在,更进一步验证可能的人脸区域。实验证明,此方法能迅速准确地从复杂背景图像中检测出人脸,而且对多人脸图像同样有效。     

基于BP网络的人脸朝向识别模型

本文基于BP神经网络建立数学模型解决人脸朝向识别这一重要问题。通过对图片压缩、标准化处理等步骤,建立了一个全新的BP神经网络。并用MATLAB对50张图片进行了实验,实验结果表明,该方法识别准确率高、识别过程速度快。最后,我们就训练样本数目的确定与更有效识别方法的探索两个方面对模型提出了改进。     

按自动选择正交面递归分解三视图的三维重建*

针对随着构成三视图环路数的增加,三维重建的计算时间和难度将成倍增加的问题,提出了一种通过自动选择正交面递归分解三视图的三维重建算法和实例。该算法能在构成三视图的各种图线组合中,自动选择出能简化三维重建难度的正交分解面,并用其不断地对三视图进行递归分解。该分解算法的使用将会扩大三维重建的范围和降低三维重建的时间和难度。     

JSF技术在Web程序开发中的应用研究

随着Web应用需求的增加,现有的Web应用开发方法出现了一些难以解决的问题,例如表示层和逻辑层无法完全分离、客户端类型较多等。本文探讨了一种新的Web应用开发技术——JSF（JavaServer Faces）技术,并通过一实例展示了它在Web用户界面开发中的应用方法,最后对此技术进行了分析和总结。     

eXo Platform--企业信息门户的实现

介绍了一种企业信息门户的实现技术eXo Platform,它基于JSR 168和WSRP标准,以JavaServer Faces作为用户界面的开发框架,提供了丰富的个性化定制特征,支持多种客户端设备,并具有安全控制等功能。在分析了eXo Platform体系结构和组成模块的基础上,详细分析了JavaServer Faces框架的体系结构及处理流程。