查询词典 contour integral

This paper probes into its application in integral calculus especially--- utilizing contour integral to calculate relational real integral.

本文重点探讨它在积分学当中的应用——利用周线积分计算有关的实积分。

A new image registration algorithm is presented based on contour-feature, which involves extracting the contour of the image, calculating the normal angle of each contour point and proceeding normal angle histogram statistics, then estimating quickly the rotation angle between two images by circular correlation of normal angle histograms.

提出了一种新的基于轮廓特征的图像配准算法，首先提取图像轮廓并计算每个轮廓点的法向角，然后对轮廓点法向角进行直方图统计，通过对两幅图像的轮廓点法向角直方图进行圆周相关计算便可快速估计出两幅图像所存在的旋转角度。

The implementation process of the algorithm is as follows: First, the scanning lines of each contour are generated, while the contour's shape can be divided into convex polygon and concave polygon, and the generating process of the scanning lines of each contour needs special treatments .

首先依次生成每个轮廓的轮廓扫描线，由于轮廓形状可能为凸多边形也可能为凹多边形，所以在生成各轮廓的扫描线时要增加一些特殊处理操作。

In this thesis, we implement a computational procedure to categorize and classify 3-D objects from their contour under a simple environment. First, we use foreground detection, Canny edge detection and speedy GVF snake to obtain the object's contour. The contour is then used to establish the object's features. Two databases are built using methods which compute similarity by modified aspect-combination algorithm proposed by Cyr and Kimia and new proposed aspect-combination algorithm. By using these two databases, we recognize 3-D objects using four recognition methods and compare their performance. Finally, a conclusion is made that our newly proposed algorithm is better than the modified algorithm proposed by Cyr and Kimia.

在本论文中，对一个在单纯环境下的三维物体，由撷取到辨识出此物体做了一个完整的实现，首先，利用前景侦测结合肯尼边缘侦测法和加速的梯度向量流动态轮廓侦测法，来得到物体轮廓，接著利用此轮廓找寻出物体的特徵，然后配合计算相似度的方法，代入修改后的Cyr and Kimia的外观结合演算法（aspect-combination algorithm）和新提出的外观结合演算法去建资料库，然后，对於三维物体则依据两种不同方法所建出的资料库，利用四种辨识的方法来辨识并比较其结果，最后得出新提出的外观结合演算法是优於修改后的Cyr and Kimia的外观结合演算法的结论。

Point clouds are discrete data points without the topology relationship between them. So, to facilitate and expedite the extraction of contour points for the late NPR style, firstly we should simplify the point cloud data. In other words, non-contour points should be eliminated but their contour points and feature points should be retained .

点云数据本身是无拓扑关系的离散数据点集，所以，为了方便和加速后期非真实感绘制风格化所需轮廓点的提取，首先对点云数据进行了"粗略"地简化处理，即剔除点云数据中非轮廓点保留了其轮廓点和特征点；然后应用判定准则提取出所表示物体的轮廓点并对其进行"归并"形成便于NPR风格化处理的特征轮廓线；最后再对得到的轮廓线进行NPR风格化效果"加密"处理。

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。

The goal is to simplify the neural-computing of biovision process modeled inthe Boundary Contour System of FACADE theory, and to extract subjective contour in.a new way. The procedure consists of DOG filtering, cooperative filtering,post-processing of cooperative cues and regrouping of endpoints, corresponding to theoriented edge filtering by simple cells, cooperative filtering by bipole cells and end-stopeffect formulated by hypercomplex cells in biovision system respectively. The last oneis an algorithm based on connection relation graph, which judges whether two keypoints should be connected according to their positions and orientations and thenconnect the key points that Should be connected to complete the subjective contour.

本文主要完成了以下工作：一是针对张量投票方法处理主观轮廓时出现的问题进行了改进，并依据矩阵的特征值摄动理论分析了该方法误差产生的原因以及迭代对其影响；二是用图像处理方法代替FACADE理论中复杂的细胞动力学方程，提出了一种基于视觉竞争合作机制的轮廓组织及缺口修复算法，该方法通过DOG滤波器组、合作滤波器组和张量投票等方法分别模拟视觉系统中的简单细胞有向滤波、双极细胞合作滤波和终端截断后端点重组等主观轮廓形成过程；三是提出了一种基于可连接关系图的算法解决轮廓组织及缺口修复问题，该方法在轮廓特征提取的基础上，根据关键点的位置和取向信息判断其可连接关系，进而连接具有可连接关系但没有实际连接的关键点，最终完成轮廓缺口的修复。

The factors that influence contour accuracy of the machine are analyzed. The equation ofcontour error due to feeding axis's dynamics is derived by circular contour motion of themachine, and a model of contour error is proposed.

五、研究了引起轮廓误差的各种因素，以圆弧轮廓为例推导了联动坐标轴动态特性对轮廓误差的影响公式，提出了轮廓误差模型。

In order to further extract open contour segment, such as circular arc, from a closed contour, a technique that combines parameters identification and contour vertices extraction was put forward.

为了抽取开放的规则轮廓段，提出了特徵参数识别和特徵轮廓抽取交互进行、有机结合的技术。为了抽取开放的自由曲线段，提出了基于转角映射的特徵连接点辨识技术。

For getting the major characteristic edges without confusions by undesired structures like muscle edges, we integrate a star-like edge detection filter named "Asterisk Filter" with the Canny Edge Detection in the image preprocessing. In addition, we also propose a new contour tracking method named "One-Pixel Rolling Ball Contour Tracking" for getting the boundary information in a binary image which is a link-list data structure. Instead of using a regression curvature estimator, PCA is used for better curvature estimation from a discrete bony contour.

为了从影像上取得骨头特徵边缘，将不重要的肌肉视为杂讯滤除，我们引用一种星形滤波器－Asterisk Filter，搭配Canny边缘检测法，做为这类影像的前处理；另外，为了将骨头的边缘精确地追踪出来，我们提出滚球边界追踪法，来对二值化影像进行边缘追踪，藉此获得边缘的串列资料结构；我们采用以主成分分析(Principle Component Analysis，简称PCA)取代原本以回归方法来计算的曲率，以取得更佳的曲率估测值，其可提高计算之参数的准确性。

The shaping method of noncircular part and the tool holder's radial motion characters in noncircular turning process are discussed in detail in the thesis.

论文详细研究了非圆零件的成型方法和加工过程中刀架的径向运动规律。

I have not really liked him,I do not like his this kind of disposition.

我没有真的喜欢他，我不喜欢他的这种性格。