NEW INSIGHTS INTO PRINCIPLES FOR DESIGNING ARCHITECTURE OF ENVIRONMENT SYSTEM FOR TOOL INTEGRATION ─IN THE CASE OF PRODUCTION MACHINES DESIGN

ＮＥＷＩＮＳＩＧＨＴＳＩＮＴＯＰＲＩＮＣＩＰＬＥＳＦＯＲＤＥＳＩＧＮＩＮＧＡＲＣＨＩＴＥＣＴＵＲＥＯＦＥＮＶＩＲＯＮＭＥＮＴＳＹＳＴＥＭＦＯＲＴＯＯＬＩＮＴＥＧＲＡＴＩＯＮ─ＩＮＴＨＥＣＡＳＥＯＦＰＲＯＤＵＣＴＩＯＮＭＡＣＨＩＮＥＳＤＥＳＩＧＮＺｈａ...     

解大型稀疏线性代数方程组的预条件Krylov子空间方法

解大型稀疏线性代数方程组的预条件Ｋｒｙｌｏｖ子空间方法邓健新（中国科学院计算中心）ＰＲＥＣＯＮＤＩＴＩＯＮＩＮＧＫＲＹＬＯＶＳＵＢＳＰＡＣＥＭＥＴＨＯＤＳＦＯＲＬＡＲＧＥＳＰＡＲＳＥＬＩＮＥＡＲＡＬＧＥＢＲＡＩＣＳＹＳＴＥＭＳ￥ＤｅｎｇＪｉａｎ－ｘｉ...     

A FEATURE－BASED PRODUCT MODELLING SYSTEM ON PC （CASE STUDY OF PARTS DESIGN FOR PRESS MACHINE）

ＡＦＥＡＴＵＲＥ－ＢＡＳＥＤＰＲＯＤＵＣＴＭＯＤＥＬＬＩＮＧＳＹＳＴＥＭＯＮＰＣ（ＣＡＳＥＳＴＵＤＹＯＦＰＡＲＴＳＤＥＳＩＧＮＦＯＲＰＲＥＳＳＭＡＣＨＩＮＥ）ＹｏｎａｓＨａｇｏｓ；ＴｏｎｇＢｉｎｇｓｈｕＡｂｓｔｒａｃｔ：Ｔｈｉｓａｒｔｉｃｌｅｒｅｐｏ...     

硬盘“丢失”故障排除

一台５８６兼容机,Ｐ１３３,１６Ｍ,ＲＡＭ,１２ＧＨＤＤ（分为Ｃ、Ｄ两个逻辑盘）,一同事在使用过程中出现硬盘“丢失”,机器不能启动的故障,每次启动时,屏幕显示系统引导失败:“ＤＩＳＫＢＯＯＴＦＡＩＬＵＲＥ,ＩＮＳＥＲＴＳＹＳＴＥＭＤＩＳＫＡＮＤＰＲＥＳＳＥＮＴ...     

加强并行处理关键技术与并行算法研究（代序）

加强并行处理关键技术与并行算法研究（代序）ＩＮＴＲＯＤＵＣＴＩＯＮ：ＭＯＲＥＥＦＦＯＲＴＳＮＥＥＤＥＤＴＯＳＴＵＤＹＫＥＹＰＡＲＡＬＬＥＬＰＲＯＣＥＳＳＩＮＧＴＥＣＨＮＯＬＯＧＩＥＳＡＮＤＰＡＲＡＬＬＥＬＡＬＧＯＲＩＴＨＭＳ中国科学技术大学计算机系郑...     

解线代数方程组的游动点估计量零方差Monte Carlo迭代格式

解线代数方程组的游动点估计量零方差ＭｏｎｔｅＣａｒｌｏ迭代格式冯庭桂（北京应用物理与计算数学研究所）ＡＺＥＲＯＶＡＲＩＡＮＣＥＩＴＥＲＡＴＩＯＮＳＣＨＥＭＥＯＦＣＯＬＬＩＳＩＯＮＥＳＴＩＭＡＴＯＲＦＯＲＳＯＬＶＩＮＧＬＩＮＥＡＲＡＬＧＥＢＲＡＩＣＥＱ...     

CURVE AND SURFACE INTERPOLATIONBY SUBDIVISION ALGORITHMS

ＣＵＲＶＥＡＮＤＳＵＲＦＡＣＥＩＮＴＥＲＰＯＬＡＴＩＯＮＢＹＳＵＢＤＩＶＩＳＩＯＮＡＬＧＯＲＩＴＨＭＳＲｕｉｂｉｎＱｕＣＵＲＶＥＡＮＤＳＵＲＦＡＣＥＩＮＴＥＲＰＯＬＡＴＩＯＮＢＹＳＵＢＤＩＶＩＳＩＯＮＡＬＧＯＲＩＴＨＭＳ￥ＲｕｉｂｉｎＱｕＡｂｓｔｒａ...     

求解非线性矩阵特征值问题的一个三阶收敛的算法

求解非线性矩阵特征值问题的一个三阶收敛的算法陈广义，薛彦才（中国科学院沈阳计算所）ＡＣＵＢＩＣＡＬＬＹＣＯＮＶＥＲＧＥＮＴＡＬＧＯＲＩＴＨＭＦＯＲＳＯＬＶＩＮＧＮＯＮＬＩＮＥＡＲＥＩＧＥＮＶＡＬＵＥＰＲＯＢＬＥＭＳ￥ＣｈｅｎＧｕａｎｇ－ｙｉ；ＸｕｅＹ...     

冤家路窄

众所周知ＭＩＣＲＯＳＯＦＴ（微软）、ＮＥＴＳＣＡＰＥ（网景）是一对冤家对头,连他们的软件也不例外。 网民Ｂ在装有ＮＡＶＩＧＡＴＯＲ的机器上安上ＩＥ以后,只见两个软件的图标在屏幕上扭打成一团,接着ＶＢ,ＶＩ－ＳＵＡＬ　ＦＯＸＰＲＯ也加入了对ＮＡＶＩＧＡＴＯＲ的拳打脚踢。 Ｂ只得关机。重新启动后,只见ＩＥ重新安排了桌面,ＮＡＶＩ－ＧＡＴＯＲ已被赶到了回收站里。冤家路窄     

ESTIMATING THE CUTTER＇S MAXIMUM DIAMETER IN 5－AXIS NC FACE MILLING OF TURBINE BLADES

ＥＳＴＩＭＡＴＩＮＧＴＨＥＣＵＴＴＥＲ＇ＳＭＡＸＩＭＵＭＤＩＡＭＥＴＥＲＩＮ５－ＡＸＩＳＮＣＦＡＣＥＭＩＬＬＩＮＧＯＦＴＵＲＢＩＮＥＢＬＡＤＥＳ￥ＬｉＭｉｎｇ；ＺｈｕＸｉｎｘｉｏｎｇ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｎｕｆａｃｔｕｒｉｎｇＥｎｇｉｎｅｅｒ...     

Color conversion for a multi‐primary display using linear interpolation on equi‐luminance plane method (LIQUID)

Abstract— A color‐conversion method, which converts an XYZ tristimulus value to a set of display signals for a multi‐primary display, has been developed. It is necessary for a display‐device driver in a color‐management system to select an optimal set of display signals that presents a given colorimetric value on a display screen. A multi‐primary display, which has more than four primaries, has more than two sets of display signals that generate the same colorimetric value theoretically. A display‐device driver, therefore, has to be designed according to a certain rule in order to choose a unique set of display signals for one colorimetric value only. To meet the requirement, a linear interpolation method, which uses three points on an equi‐luminance plane in XYZ tristimulus value space, has been developed. The developed method assigns three points on an equi‐luminance plane in XYZ tristimulus value space to ensure smoothness of a continuous gradation of display signals. The colorimetric accuracy of the developed method was evaluated with a six‐primary DLP? projector. Colorimetric error in CIELAB space between the targets and reproductions is about 0.8 on average and 2.9 at maximum.     

Color space normalization: Enhancing the discriminating power of color spaces for face recognition

This paper presents the concept of color space normalization (CSN) and two CSN techniques, i.e., the within-color-component normalization technique (CSN-I) and the across-color-component normalization technique (CSN-II), for enhancing the discriminating power of color spaces for face recognition. Different color spaces usually display different discriminating power, and our experiments on a large scale face recognition grand challenge (FRGC) problem reveal that the RGB and XYZ color spaces are weaker than the I₁I₂I₃, YUV, YIQ, and LSLM color spaces for face recognition. We therefore apply our CSN techniques to normalize the weak color spaces, such as the RGB and the XYZ color spaces, the three hybrid color spaces XGB, YRB and ZRG, and 10 randomly generated color spaces. Experiments using the most challenging FRGC version 2 Experiment 4 with 12,776 training images, 16,028 controlled target images, and 8,014 uncontrolled query images, show that the proposed CSN techniques can significantly and consistently improve the discriminating power of the weak color spaces. Specifically, the normalized RGB, XYZ, XGB, and ZRG color spaces are more effective than or as effective as the I₁I₂I₃, YUV, YIQ and LSLM color spaces for face recognition. The additional experiments using the AR database validate the generalization of the proposed CSN techniques. We finally explain why the CSN techniques can improve the recognition performance of color spaces from the color component correlation point of view.     

颜色空间转换在视频采集显示系统中的应用

详细介绍了一种视频采集显示系统,针对视频处理常用的视频解码芯片输出的YCbCr4∶2∶2的视频格式,用FPGA实现串并转换,颜色空间转换,去隔行处理等算法,最后通过视频编码器ADV7123实现了RGB图像的输出.     

基于VC＋＋的YUV420与RGB24之间的视频图像格式相互转换

颜色空间是一个三维坐标系统,每一种颜色由一个点表示。RGB与Yuv分属于不同的颜色空间,且两者之间可以相互转换。首先,论文简要介绍了YUV420与RGB24视频图像格式及其相关;其次,以VC＋＋为工具,以个人笔记本电脑为平台,实现了单帧YV420与RGB24视频图像格式之间的相互转换,并且给出、分析了部分用程序代码;最后,认为YUV420与RGB24视频图像格式之间的相互转换对视频会议系统及其技术的发展和创新具有重要的实际工程意义。     

基于离散K-L变换的彩色图像平滑滤波*

该方法的基本思想是对RGB颜色空间进行正交变换,解除分量间的相关性,然后应用现有的平滑滤波方法对变换后的分量进行平滑,最后再恢复到RGB空间显示。实验结果表明,该方法与基于RGB模型的滤波方法及基于HSI模型的滤波方法相比,能获得较好的图像平滑效果。     

色彩分析仪的色彩转换关键方法研究

针对实际产品色彩与设计色彩模式之间的巨大差异,提出了借助分色仪将产品色彩转化为设计RGB色彩模式的可行性方法,建立了CIE 1931-RGB系统中的R、G、B三刺激值与计算机显示的RGB色彩模式三值之间对应映射关系的数学模型,利用实验数据验证了相应的方法。实验结果表明,这不仅是一种科学转化色彩模式的方法,而且为工业设计中色彩设计提供了一种简捷途径。     

A target-based color space for sea target detection

Sea target detection is a vital application for military and navigation purposes. A new supervised clustering method based on the combination of the PSO and FCM techniques is presented for the sea target detection problem. The color components of the target and non-target pixels in the RGB color space are used as features to train the classification algorithm. The new classifier is presented in the form of a new color space which we call the Target-based Color Space (TCS); in fact the RGB color space is converted to this new space through a 3×3 matrix. The Particle Swarm Optimization (PSO) algorithm is then used to search for the optimum weights of the conversion matrix which results in a more discriminating clustering space between the target and non-target pixels. In other words, solving the optimization problem, minimization of the objective function of the FCM clustering technique in linear and quadratic transform domain (with a NP-hard problem in quadratic conversion), is done using the PSO algorithm. The main objective of this work is to demonstrate the efficiency of using just color features, as well as color space conversion in the classification domain. Experimental results show the efficiency of new method in finding sea targets in color images.     

Lip detection by the use of neural networks

Lip detection is used in many applications such as face detection and lip reading. In this article, a method for lip detection in color images in a normalized RGB color scheme is presented. In this method, MLP neural networks are used to perform lip detection on segmented skin regions. Several combinations of chrominance components of the normalized RGB color space were used as the input to the neural networks. Two methods were used for obtaining the normalized RGB components from the RGB color scheme. These are called the maximum and intensity normalization methods, respectively. The method was tested on two Asian databases. The number of neurons in the hidden layer was determined by using a modified network-growing algorithm. It was found that the pixel intensity normalization method gave lower lip detection error than the maximum intensity normalization method regardless of the database used, and for most of the combinations of chrominance components. In addition, the combination of the g and r/g chrominance components gave the lowest lip detection error when the pixel intensity normalization method was used for both databases. The effects of the scale and facial expression on lip detection was also studied. It was found that the lip detection error decreased as the scale factor increased. As for facial expression, a laughing facial expression gave the highest lip detection error, followed by smiling and neutral expressions.     

基于多分类器组合的多角度彩色人脸图像检测

提出了基于神经网络和隐马尔可夫模型组合的彩色人脸图像检测方法 .根据归一化后的彩色图像的色度彩色分量直方图将图像粗分割成若干幅二值图像 ;在亮度图像上 ,以上述二值图像为掩模进行多分辨率的旋转不变性人脸检测 .在人脸检测时 ,本文分两步 :第一步先用神经网络来确定人脸的旋转角度 ,然后对旋正后的图像运用识别人脸奇异值特征的隐马尔可夫模型进行验证 .实验结果表明 ,本文算法是有效的