研究了最小核值相似区(SUSAN)角点特征的立体图像对匹配。
Stereo image matching based on SUSAN corner feature has been studied.
针对复杂背景情况，提出一种基于角点特征的车载视频图像序列数字稳像算法。
A corner-based digital image stabilization algorithm for mobile video surveillance is presented.
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.
研究通过提取运动目标的角点特征，获得目标的结构特征及速度特征的方法，实现目标的较精确识别和速度估计。
The method to acquire the construction and motion characteristic of the target whit high accuracy based on withdrawing the corner features of the target has been studied.
考虑到眼角的角点特征，眼角位置在眼角区域内的水平加权方差投影曲线和垂直加权方差投影曲线中都有峰值，可通过对加权方差投影曲线的分析对眼角细定位。
Owing to the existence of both peaks of eye corner position at the projection curves of WVPF in horizontal and vertical directions, the eye corner positions are located by analysis of peaks of WVPF.
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.
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.
根据匹配和新视点图像生成的需求，特征检测方法需要特征定位的精度较高，能同时检测出角点、边缘等不同特征等。
For the need of the matching and image synthesis the method of extraction can detect the different features of corners and edges and precision of the corner location is relatively good.
在众多图像特征中，角点不仅具有最少的数据量，而且稳定性极高，这使角点检测成为特征提取的重要分支。
Among the many image features, not only do the corners have the least amount of data, but also they are quite stable, which makes corner detection as an important branch of feature extraction.
角点是图像的一种重要的局部特征，是能充分描述物体形状的特征点。
Corners are important local features of an image, and are the feature points that can be fully describe the shape of the object.
在基于特征的图像配准、图像理解及模式识别等领域中，角点提取具有十分重要的意义。
In the field of the image registration based on the characteristics, image understanding and pattern recognition and so on, the corner extraction is of great significance.
本文算法首先对立体图像对中的左图像进行DT网格剖分，把各三角形的顶点作为“特征点”在右图像中寻找它们的匹配点。
The algorithm first describes the left image with DT mesh. As feature points, the vertexes of triangulations are matched in the right image for finding their corresponding points.
比对过程中首先根据两个集合中的全等三角形求出它们的旋转和平移参数，然后对根据参数进行转换后的特征集合进行点模式匹配。
In the matching process the parameters of rotation and displacement were obtained by two congruent triangles, then the point-pairs matching would be performed on the transformed sets.
景物的特征点抽取是模式识别及计算机视觉中的一个重要问题，已出现的多种检测特征点的方法中主要有角检测法和多边形逼近法。
Detecting dominant points is an important subject in pattern recognition and computer vision. Corner detection and polygonal approximation are two major approaches for dominant point detection.
根据飞机形状角点之间的距离，定义了一种新的多维距离特征向量，不同飞机具有不同的多维距离向量。
A new multidimensional distance vector (MDV) is defined based on corners of airplane outline, each airplane has its MDV different from others.
这里所指的特征点是指瞳孔、眼角、鼻角和嘴角。
Feature we point out here refers to pupil, canthus, corners of the mouth and corners of the nose.
基于四角切圆燃烧锅炉炉内湍流流动各向同性的假设，得出炉内各点的特征频率。
On the basis of a hypothesis that the turbulent flow in a tangentially fired boiler furnace assumes an isotropic character obtained is the eigenfrequency of various points within the furnace.
我们的主要目标是在去除图像噪声的同时尽可能地保持图像的边缘以及图像角点等特征信息。
It is our aim to denoise and preserve the details such as edges and corners in the image as much as possible.
最后，本文对一种重要的图像特征——角点进行了研究，提出了一种新的基于交点累积空间的角点提取算法。
Lastly, based on the research of the important image feature, i. e. corner, a new Accumulative Intersection Space based corner detection method is developed.
该方法取运动角点为特征量，通过选择灰度相关函数为特征匹配函数，实现了车辆在一定帧差内移动距离的测量。
Motion corner points are chosen to form a feature vector, and the image intensity is used as a feature matching function to measure inter-frame movement of the vehicle.
顾及地形特征线的散点域(约束数据域)三角剖分是建立高精度数字地面模型的基础，在GIS、地学分析、计算几何、多分辨率DTM等领域中有着广泛的应用。
The triangulation of constrained data set is widely used in Geographic Information System (GIS), geo-science, computational geometry, multi-resolution and high precision DTM, et al.
“交点累积空间”是本文根据角点实质上是直线交点的特征提出的一种新的概念。
Accumulative intersection space is a new concept which is proposed according to the reality that corner is actually the intersection of lines.
该方法利用电磁场理论表达图象特征，进而从特征图象中提取出角点。
Image features are represented using the theory of electromagnetics. Corners are detected in the vector potential of the field.
首先改进Harris角点检测算法，有效提高所提取特征点的速度和精度。
First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy.
对应特征点的三维重建是根据三角测量的方法计算其投影矩阵，然后用奇异值分解求出特征点的三维齐次坐标。
Feature points' 3d coordinates are computed through singular value decomposition of projector matrix, then compute projector matrix by triangulation.
该方法对人脸特征点集做三角剖分，在纹理图像和三维网格之间建立了一个准确的拓扑同构映射关系，从而得到高真实度的纹理映射。
Applying a D-triangulation on the facial feature points, a precise and topological isomorphic mapping is established between 3d mesh and texture. The texture mapping with high quality can be obtained.
该方法对人脸特征点集做三角剖分，在纹理图像和三维网格之间建立了一个准确的拓扑同构映射关系，从而得到高真实度的纹理映射。
Applying a D-triangulation on the facial feature points, a precise and topological isomorphic mapping is established between 3d mesh and texture. The texture mapping with high quality can be obtained.
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