精确定位的

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上，取得了如下主要研究成果：①构造了一个通用的人脸轮廓模型表示，解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题，并给出了模型内、外能函数的定义，同时给出了模型的全局与局部匹配算法，实验表明，使用这种表示形式以及匹配算法，能够较好地提取人脸图象的轮廓，可实际用于人脸图象的分割；②深入分析了PCA方法的识别机制，得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论，同时指出这也是造成PCA方法通用性较差的本质原因，并给出了不同人脸空间距离的一种度量方法，使用该度量方法能够直观地对人脸图象空间进行分析；③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度，实验结果表明，探测精确度很高，从而有利于人脸图象特征提取，以及图象的有效表示；④构造了人脸图象的各局部特征模板，用于人脸图象局部特征的探测；同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法，实验结果表明，使用这种方法能够精确地得到人脸图象各局部特征的位置；⑤提出了一种新的人脸图象表示法---双属性图表示法；利用属性图来表示人脸图象，并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性，这种表示方法充分利用了人脸图象的局部特征的统计特性，并且使用Gabor变换来反映人脸图象的拓扑结构，从而使得双属性图表示法具有较强的通用性；⑥在双属性图表示的基础上，给出双属性图匹配函数及匹配算法，在函数及算法设计过程中，考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响，使得匹配算法具有较强的通用性；⑦设计并实现了一个通用的人脸图象识别系统，实验结果表明，该系统在图象光照、尺度、旋转姿势情况下，得到了较好的识别效果。

Aiming at the attributes of the high speed of cigarette package moving and strong noise in the field environment, the thesis carries out a dynamic imaging mode of random outer trigger and obtains the cigarette package images with high quality and high precision. The median filtering, image segmentation and other techniques of image pre-processing are applied to the character images, and the techniques of pattern recognition are employed to recognize the characters. The thesis optimizes and improves the recognition algorithm to satisfy the requirements of high speed real-time processing system. The whole system can online inspect and take statistics the print quality of the forgery-proof symbols on the outer packing of cigarette, achieving good results.

针对在线打印防伪字符过程中烟包运动速度高、现场环境干扰多等特点，设计了随机外触发动态成像方式，获得了定位精确、画面清晰的烟包图像；运用中值滤波、图像分割等图像处理技术对待识别的字符图像进行了预处理，并运用模式识别技术对字符进行识别；对分析识别算法进行了优化和改进，满足了系统的高速实时处理要求，完成了对烟包外包装防伪字符打印质量的在线检测和数据统计，取得了良好的检测效果。

Important is,"Foolish catalog " in the coordinate location system that still used global initiate, the abscissa is searched area, ordinate is searched content, inquiry with accurate staff gauge kill limit is inside smaller, exacter range, the user needs to be clicked a few times only find quickly with beside pertinent service information.

重要的是，&傻目录&中还采用了全球首创的坐标定位系统，横坐标是查找的地区，纵坐标是查找的内容，用精确的标尺将查询结果限定在更小、更准确的范围内，用户只需点击几次就能迅速地找到与身边相关的服务信息。

Because DHT methods just provide exact-match query facility, not satisfying the flexible query requirements, the paper also discusses a scalable, flexible multi-keyword resource located technology. The paper proposes the filtering conjunctive operation scheme similar with distributed database. It also includes an incremental search over the peers to decrease the query latency and bandwidth consumed. Lastly we investigate the popularity of user search behaviors and provide the cache strategy to reduce the overhead associated with operations spread across the wide area to provide the efficient resource query and access in scalable P2P system.

由于分布式哈希路由算法只能提供精确的资源定位，不能满足人们灵活的查找需求，因此本论文也讨论了一种便于扩展，灵活的多关键字资源搜索与信息服务技术，提出类似分布式数据库的过滤器连接算法，并采用增量式查找算法减少查询延迟及带宽消耗，利用缓存策略加速查询，以期为大规模的P2P网络提供高性能的资源搜索与数据访问服务。

Since historical times,England ,where the early inhabitants were Celts, has been conquered three times .

从有历史以来，英国，在此地早期居住的是凯尔特人，已经被征服了三次。

Bluetooth OBEX File Transfer Enables the sending and receiving of files on your phone via Bluetooth.

蓝牙OBEX文件移动允许经过蓝牙传送和接受文件。。。。