轮廓图

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。

We decompose curvature signal with wavelet at first and then use its low frequency coefficients as new smooth curvature signal, which is used to construct a G^2 continuous piecewise rational cubic Bezier curve with (Geometric Hermite Interpolation, GHI) GHI method subsequently.

针对在逆向工程的实践中常见的轮廓线的光顺问题，给出了一种先对曲率图进行小波分解，提取其低频部分作为新的曲率图，并利用几何Hermite插值方法，生成G^2连续的分段三次有理Bézier曲线，从而重建出光顺的产品轮廓曲线的新方法。

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 characters of the singular point of the visible contour line of a concave rotative surface and its corresponding projection are analyzed on condition that the projection of the contour line is smooth near the singular point , the shape of the visible contour line of a concave rotative surface near the singular point is further studied.

对凹回转面可见轮廓线的投影在奇点附近仍光滑的情况下，分析了可见轮廓线本身与奇点对应点处的曲线特征以及可见轮廓线在其对称平面的投影图上与奇点对应的点的特征。对凹回转面可见轮廓线在奇点附近形状作了进一步的分析与研

An algorithm about picking element is presented in this paper: First,getting certain amounts of boundary points by contour tracing from a point near an element and calculating primal parameters; Then, picking the element completely by element tracing guided by these initial parameters, jumping over broken points and intersecting points; At last,deleting the picked element from the raster image and renewing other elements' information intersecting with the picked element.

本文提出一种图元拾取算法：首先从图元附近一点开始，经轮廓跟踪、参数拟合得到图元的初始参数；然后在初始参数引导下，对图元定向跟踪，跳过断点和交点，最大限度的拾取整个图元；最后在光栅图像上删除该图元，并恢复与之相交的其它图元的交点信息。

By the data in the images from the two frequency grating projector , the absolute phase at each pixel is then unwrapped by comparing the two wrapped phases and it is suit for the great craggedness of the measurement object.

在光学投影栅线法测量物体三维轮廓理论的基础上，本文提出了双频投影栅线法物体轮廓测量技术，通过两种不同频率的光栅投影图，能够直接得到包含物体高度信息的绝对相位值，能够实现具有陡峭边沿物体的测量，实验结果表明，利用该方法能够显著提高物体轮廓测量精度。

The forecast algorithm is based on the peculiarity of 3D images i.e the deformation of the contour along the space or time axis is continuous in 3D images. The forecast algorithm analyzes the trend of the deformation of the contour in the segmented images, then prognosticates the location and the shape of the contour in the next image.

三维图像中物体的轮廓沿着空间轴或时间轴的位移和形变是连续的，该算法根据这一特性，利用前几幅图的分割结果来预测当前图像中物体轮廓的位置和形状，弥补了主动轮廓模型搜索范围小的缺点。

For reconstruction from contours, this dissertation uses Active Contour Model to check the boundary contours. The algorithm can generate single, continuous and close contours quickly. For reconstruction from voxel, this dissertation presents an algorithm to trace the boundary contours from segmented regions based on Active Contour Model. The algorithm can trace the contours of inter and outer connected multi-regions correctly and accurately, and can prevent tracing from jumping out to the neighbor region, also can define the contour precision and contour key points actively as snake is growing up.

对于基于轮廓线的表面重建，利用主动轮廓模型（Active Model，又称Snake Model）来完成断层图象上目标轮廓的提取，可以获得单象素连通的封闭的目标边界轮廓；针对基于体素的表面重建中实施了分割后的体数据，提出了一种基于主动轮廓模型完成二值图象中轮廓跟踪记录的方法，可以对同属于重建目标的内外邻接多区域进行正确和准确的边界轮廓跟踪，使得在跟踪当前轮廓时不会跨越到相邻轮廓，且主动轮廓的精度可以根据参数交互决定，尤其是能够在主动轮廓成长的同时主动定义轮廓关键点。

The contour curve is obtained with Sobel operator, and thus the angel of the contour curve of needlepoint image can be computed.

通过Sobel算子和曲线拟合得到输液针图象的轮廓曲线，并进一步计算出输液针图象的外轮廓角度。

Imports gridded data into Microsoft MapPoint, to produce attractive data maps that resemble contour maps.

进口的网格数据到Microsoft MapPoint的，产生有吸引力的数据地图相似的轮廓图。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。