基于类内均值的双投影2DPCA人脸识别方法

在人脸识别问题中,如何提取具有鲁棒性的人脸特征和降低特征维数是两个关键。根据二维主成分分析方法直接利用二维图像来构建方差矩阵的优点,引入了类内均值的思想,首先计算每类训练样本的类内平均脸,并用它对各类样本进行规范化处理,有效扩大了类间样本的差别,缩小了类内样本的差别,进行协方差矩阵的计算并提取最优投影特征向量进行人脸图像的特征提取,通过在水平和垂直两个方向上顺序执行两次提取和投影的操作,极大压缩了特征的维数,克服了传统二维主成分算法的不足。在人脸库ORL和Yale的试验对比结果表明,方法对光照与表情变化有较好的鲁棒性,能实现较高的识别率,因此在实际中具有一定的应用意义。     

Face tracking with automatic model construction

This paper describes an active model with a robust texture model built on-line. The model uses one camera and it is able to operate without active illumination. The texture model is defined by a series of clusters, which are built in a video sequence using previously encountered samples. This model is used to search for the corresponding element in the following frames. An on-line clustering method, named leaderP is described and evaluated on an application of face tracking. A 20-point shape model is used. This model is built offline, and a robust fitting function is used to restrict the position of the points. Our proposal is to serve as one of the stages in a driver monitoring system. To test it, a new set of sequences of drivers recorded outdoors and in a realistic simulator has been compiled. Experimental results for typical outdoor driving scenarios, with frequent head movement, turns and occlusions are presented. Our approach is tested and compared with the Simultaneous Modeling and Tracking (SMAT) [1], and the recently presented Stacked Trimmed Active Shape Model (STASM) [2], and shows better results than SMAT and similar fitting error levels to STASM, with much faster execution times and improved robustness.     

Spatial interest pixels (SIPs): useful low-level features of visual media data

Visual media data such as an image is the raw data representation for many important applications. Reducing the dimensionality of raw visual media data is desirable since high dimensionality degrades not only the effectiveness but also the efficiency of visual recognition algorithms. We present a comparative study on spatial interest pixels (SIPs), including eight-way (a novel SIP detector), Harris, and Lucas‐Kanade, whose extraction is considered as an important step in reducing the dimensionality of visual media data. With extensive case studies, we have shown the usefulness of SIPs as low-level features of visual media data. A class-preserving dimension reduction algorithm (using GSVD) is applied to further reduce the dimension of feature vectors based on SIPs. The experiments showed its superiority over PCA.

DTM320／580型磨煤机传动齿轮轴断裂原因分析及防范措施

介绍了DTM580/320型磨煤机传动齿轮轴断裂的情况,并进行了分析;找到了断裂的原因,提出了防范措施。     

Animating visible speech and facial expressions

We present four techniques for modeling and animating faces starting from a set of morph targets. The first technique involves obtaining parameters to control individual facial components and learning the mapping from one type of parameter to another through machine learning techniques. The second technique is to fuse visible speech and facial expressions in the lower part of a face. The third technique combines coarticulation rules and kernel smoothing techniques. Finally, a new 3D tongue model with flexible and intuitive skeleton controls is presented. The results of eight animated character models demonstrate that these techniques are powerful and effective.     

异齿宽齿轮泵的研究

概述了直齿轮泵和斜齿轮泵的困油特性及目前解决困油问题的方法。通过对齿轮泵的结构调整，得出消除齿轮泵的困油现象的新方法。通过与卸荷槽法进行比较，总结出异齿宽齿轮泵的优点及其技术要点，并给出了轴套的结构尺寸。     

数控车床加工效率的优选研究

以齿轮零件为例,介绍了数控车床加工时对怎样合理安排加工顺序,走刀路线、刀具的选择及切削要素的确定进行了分析,对在数控车床上加工类似零件有一定的参考价值。     

ORIGIN软件在齿轮测量中的应用

以齿轮检测为例,说明了ORIGIN软件在检测中的使用方法,表明它在提高检测精度和检测效率方面的巨大作用。     

行星齿轮调速器在660MWe超临界空冷机组电动给水泵上的应用

针对给水泵不同驱动方式进行了简单比较,并着重从行星齿轮调速器的安装、调试、运行等方面介绍了行星齿轮调速器在蒲城电厂的使用情况,以期对同行有所帮助。     

CNC齿轮测量中心永磁同步电动机驱动系统设计

对CNC齿轮测量中心的旋转轴永磁同步电动机伺服驱动系统进行了设计优化。分析了id=0电流控制方式下的矢量控制基本原理和转速测量方法,采用了SVPWM控制策略和速度外环的模糊自适应PI控制,与传统的PI控制相比,消除了稳态误差,提高了系统响应速度,减小了超调,使系统具有良好的动、静态特性。通过Matlab/Simulink仿真、硬件实验,结果表明了电机在低速情况下能够稳定运行,验证了所设计的驱动系统的可行性。