特征角点跟踪算法的原理及其实现。
The theory and realization of the characteristic corner tracking method.
提出了一种有效的角点提取的方法。
提出两种方法来处理导体角点问题。
Two methods are developed to solve the corner point problem.
角点的仿行数：选择仿行的数量。
Number of replicates for corner points: CHOose the number of replicates.
提出了利用角点信息提取嘴唇特征的方法。
A new method of incorporating corner information for mouth feature extraction is proposed.
实验结果表明该方法实现了快速、准确的角点匹配。
The experimental results show that the proposed approach perform corner matching accurately and quickly.
它满足微分方程，自由边界的条件以及自由角点条件。
It satisfies the differential equation, the boundary conditions of the edges and the free corner conditions.
挠曲函数满足板的微分方程和全部边界条件、角点条件。
Flexural functions satisfy the differential equations of plate and all the boundary conditions as well as the conditions at free corner points.
另外用代数多项式和双正弦级数组成的解来满足角点条件。
Moreover, the solution composed by algebraic polynomial with double sine series is used to satisfy the corner conditions.
最后，运用最大化对齐度准则来精确地确定角点匹配点对。
Finally, each corner matching pair is determined accurately using maximization of the AM.
这种算子通过精确定位组成角点的两条直线，从而精确定位角点。
It locates the corner point precisely through accurate positioning its two edges.
为了有效和快速地恢复角点处的图像信息，采用了最优估值理论。
Employing the optimal estimation can restore the pixels information in the corner effectively and rapidly.
建模应用程序通常显示几何顶点的数量，例如构建模型不同角点的数量。
Modeling applications usually display the geometric vertex count, i. e. number of points that make up a model.
建模应用程序通常显示几何顶点的数量，例如构建模型不同角点的数量。
Modeling applications usually display the geometric vertex count, ie, the number of distinct corner points that make up a model.
给出的挠度函数满足薄板的基本微分方程、全部边界条件以及角点条件。
The deflection functions given satisfy the differential equation of thin plate, all the boundary conditions as well as the conditions at free corner points.
将一般解析解代入边界条件，用正弦数加角点条件的方法确定待求系数。
The general analytic solutions satisfy the boundary conditions and the conditions at the corner points. The unsolved coefficients are worked out by the sine series method.
在角点匹配过程中，采取了松弛算法来提高匹配精度，达到了好的配准效果。
In this image registration method, with the help of relaxation algorithm, matching precision is improved.
在匹配过程中，为了保证其快速性引入了两种新约束：角点约束与边缘约束。
In the whole matching process, the corner constraint and the edge constraint were proposed to guarantee the matching speed.
基于SUSAN和角点几何结构分析的思想提出一种改进的快速角点探测算子。
An improved fast corner detector based on the thought of 'SUSAN corner detector' and the analysis of corner geometric structure is described in this paper.
角点的角度是衡量角点特征的一个极为重要的指标，常作为阈值决定角点的取舍。
The angle is one of an important feature of corner that is often used as a threshold to decide whether the corner can be utilized.
由该控制收敛矩阵4个角点的安全系数的大小决定下一个控制收敛矩阵移动的方向。
The magnitude of the safety factor at 4 corner points of the previous control convergent matrix will determine the movement direction of the next control convergent matrix.
测区的控制测量及与国家三角点的连测方法，成为影响工作进度、保证测量精度的关键。
The method of connecting observation between conventional control points and National Triangulation Station would affect the working process and mapping precision.
应用边界点元可以更客观地反映角点处边界量的实际状况，从而大大改善了计算结果的精度。
Using boundary point elements can simulate the actual situation of boundary quantities more objectively and improve the accurate of results greatly.
基于此，本文在轮廓尺度空间中研究角点的演化行为，为角点描述提供一种有效的表达方式。
Based on above, this paper will investigate the evolution behavior of corners in the contour scale space, which will provide an excellent corner description.
利用棋盘格角点共面特点，将平面到平面的变换引入到角点检测中，实现了角点的自动粗定位。
Since X - corners coplanar, a plane - to - plane transform is introduced and rough location of X - corners is realized.
通过SUSAN检测算子提取图像特征角点，利用快速RANSAC算法来实现图像的初配准。
The SUSAN detector was used to extract the feature corner from the images, and fast RANSAC algorithm was used to register the images approximately.
本文针对矩形建筑物的轮廓矢量化提取技术，提出了一种新的基于角点识别和定位的矢量化方法。
This paper describes a new vectorization approach based on corners detection and positioning for the vectorization extraction of rectangle building.
提出图象的角点位于该矢势图的鞍点和基于模板匹配的鞍点检测算法，并给出实际的角点检测结果。
The saddle point detection algorithm is based on a simple template matching. The corner detection result is given.
本文提出了一种快速、高精度的角点检测算法，算法简单新颖，角点条件和角点响应函数设计独特。
In this paper, we propose a fast and novel corner detection algorithm with high-precision by designing a new corner qualification and a corner response function.
本文提出了一种快速、高精度的角点检测算法，算法简单新颖，角点条件和角点响应函数设计独特。
In this paper, we propose a fast and novel corner detection algorithm with high-precision by designing a new corner qualification and a corner response function.
应用推荐