这是跟踪特征点的基本过程。
通过特征点匹配，求其局部运动矢量；
The local motion vector of the block was determined by feature point matching.
模型具有4个特征点和3个特征线段。
This model has 4 characteristic points and 3 characteristic line sections.
特征点精确定位是解决这些问题的关键。
Precise facial feature points extraction is the key to solve these problems.
设计了一种基于特征点的图像跟踪算法。
An image tracking algorithm based on distinguished points is presented.
介绍了一种基于自然特征点的增强现实注册方法。
A method of registration of augmented reality based on natural characteristics is introduced.
特征点的位置反映了平移效应和填充效应的综合效果。
The positions of characteristic points represent combination of horizontal shifting effect and filling effect.
二维特征点的检测和提取是进行图像配准的关键技术。
The detection and extraction of feature points are the basis technology in image registration.
当谈论到动物权利的时候，这是一个很重要的特征点。
This is an important distinction when talking about animal rights.
请记住，透镜、畸变和特征点的跟踪精度将使它永远不会完美。
Remember it's never going to be perfect due to lenses, distortion and tracking accuracy of the features.
特征点匹配算法通过动态建立极坐标系和弹性配对特征点来实现。
Rotary coordinates are dynamically established in our matching algorithm, in which an elastic minutiae paring method is used.
设计数字滤波器并利用传统的心电分析算法来标定心电波形的特征点。
Designing digital filter and demarcating the feature points of ECG wave with the traditional ECG analysis algorithm.
然后基于规则筛选出关键特征点集，通过两步最小二乘法拟合牙弓线。
Thirdly, the feature point set is filtered by the rule and two-step curve fitting method is used to obtain the dental arch form.
新曲线具有4个特征点和3个特征线段，利用这些特征进行工艺分析。
The new curve has 4 characteristic points and 3 characteristic line sections, which can be used to make process analysis.
描述了一个基于特征点匹配的联机指纹验证系统设计思想和实现方法。
Describes the design and implementation of an on line fingerprint verification system based on minutiae matching.
当跟踪器丢失了它的特征点，最糟糕的解决办法是丢弃几个不好用的帧。
Most bad solutions can be put down to a few rogue frames where a tracker has lost its feature.
使用一种基于特征点的时间序列线性分段方法作为时间序列的模式表示。
Use a method of time series piecewise linear representation based on feature points as a way for pattern representation.
本文改进算法的最关键在于对特征点提取算法和特征匹配算法上的改进。
The improvement on feature points extraction and feature points matching are the key points of the improved algorithm.
特征点的遮挡问题可以通过特征点跟踪过程中对特征点位置的预测得到解决。
The occlusion problem can be solved by the position prediction in the process of the tracking of feature points.
根据特征点的几何定义，利用轮廓线的位置信息、曲率等属性来提取特征点。
Lastly, the characteristic points can be extracted by the geometry definition of them and the position and curvature of each point on the contours.
然后根据特征点的几何定义，利用轮廓线的位置、曲率等信息自动提取特征点。
Characteristic points can be extracted by considering the geometry definition, the position and curvature of each point on the contours.
通过将特征点匹配问题转化为优化问题，该网络可以实现对目标识别问题的求解。
Transforming the feature points matching problem into the optimization problem, the network can complete the function of the object recognition.
针对火炮身管内膛图像特点，提出一种特征点稀少的火炮身管内膛图像拼接算法。
This paper takes advantage of the features of the inner surface image points in artillery pipe, and proposes an algorithm based on small number of feature points on inner surface of artillery pipe.
通过液晶光栅编码可以直接获得被测物体形貌特征点信息，提高了测量速度和效率。
It can obtain the feature point information of measured object directly and improve the measuring efficiency.
由于本方法没有涉及任何刚体运动约束，所以适用于各种非刚体运动的特征点对应。
Because this method is not based on the constraint of body rigidity, it can solve the correspondence problem of nonrigid body motion.
广泛分布在地球表面的地形特征点构成了地形骨架，对地形地貌具有一定的控制作用。
The terrain feature points which widely range on earth surface structure the terrain, skeleton, and have definite control action of landform.
形态识别包括：局部特征点及其方向，弯曲的结构特征，整体描述参数以及拓扑特征。
The shape identification includes the local character point and its direction, the curve structure, the global parameter and topology trait.
特征点、特征线的提取是计算机视觉检测的基础，特别是在工业检测中要求很高的精度。
Reovering the feature point and feature line is the basic in the computer visual inspection, the high-precision is asked in the measurement of industry.
文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。
This paper presents an algorithm of point correspondence in which the spectral theory, partial characteristics of points and the method of probabilistic relaxation are combined.
文章提出了一种将谱图理论、特征点的局部特征和概率松弛法相结合的特征点匹配算法。
This paper presents an algorithm of point correspondence in which the spectral theory, partial characteristics of points and the method of probabilistic relaxation are combined.
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