特征点

基于SIFT的多时相星载SAR图像特征点自动匹配

Matching feature points of multi-temporal space-borne SAR based on SIFT

通过由Gabor小波变换系数表示的若干个人脸模板和人脸图像之间的匹配来确定特征点的近似位置；

Facial feature points are located roughly through the matching between certain face templates which are represented by Gabor wavelet transform coefficients and a face image .

化学成分C、Si和5个特征点的线性相关程度是不同的。

The linearity of special points is different .

基于BAG结构的特征点的提取方法

Characteristic Points 's Extracting Method Based on the BAG Structure

通过调控多个红外LED驱动模块，构建了光学特征点网；

Optical feature points network is constructed , through the regulation of several infrared LED drive module .

兴趣点是图像灰度在x，y两个方向上都有很大变化的一类特征点。

The points of interest are those of useful low level features where the image gray value changes bi dimensionally .

基于Gabor变换的特征点跟踪算法研究

New feature point tracking algorithm based on Gabor wavelet transformation

基于Harris特征点检测法的雷达图像与电子海图的数据融合

Data fusion of radar image and ECDIS based on matching of Harris feature points

本文详细讨论了特征点的提取算法，主要采用了Susan角点检测算法。

This paper detailedly discusses the feature point extraction algorithm . It mainly uses the Susan-corner-detecting algorithm .

基于SIFT特征点的图像拼接技术研究

Research on Image Mosaic Based on SIFT Feature Points

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。

Firstly , corners are extracted using improved Harris operator which improves the precision and speed .

根据耳廓形状半自动匹配特征点，运用标定信息进行外极校正，最后利用稠密匹配重建3D耳朵模型。

Match ear features according to auricle shape semi automatically . Epipolar correction is done by using camera calibration information and 3D ear shape is reconstructed after density matching .

可以根据pH和ORP变化曲线上的特征点对脉冲SBR进行实时控制。

So that the real-time control of pulsed SBR can be based on the variation of pH value and ORP .

电弧弧柱的特征点从电弧图像中被提取出来，基于磁收缩效应、非均匀B样条理论和电弧特征点，建立一种弧柱的可视化模型。

The feature points of arc column were extracted from arc image . Arc column visual model was constructed based on magne - tic pinch effect , no-uniform rational B-spline technique and the arc feature points .

其中对局部Gabor系数使用一种由粗到精的方法来搜索特征点的位置。搜索的初期在局部使用肤色相似度图得到大致的轮廓，然后使用Gabor小波对结果进行修正。

First use skin similarity image search to get the rough shape then use gabor parameter to renew the rough shape .

以面阵CCD为传感器，检测光纤端部出射光斑，采用重心法提取光斑的特征点表征光纤的位置。

With planar array CCD sensor , exit spot from optic fiber end is detected through extracting the characteristic points of spot for characterizing the position of optic fiber .

针对这一步骤的实现，本文提出了一种基于二维Gabor小波变换和动态规划法的特征点匹配算法。

So an algorithm based on Two-dimensional Gabor wavelet transform and dynamic programming for feature points matching was proposed in this paper .

着重研究了基于Gabor小波的特征点检测方法，提出了基于Gabor小波的，适于图像稳定的特征点检测方法。

After the careful study of Gabor wavelet based feature extraction technique , we propose an extraction method suitable for image stabilization .

通过对模拟图像进行的大量实验，得到了令人满意的结果，证实了用Hopfield神经网络完成特征点松弛匹配过程的有效性和可行性。

Experimental results with large simulated images prove the effectiveness and feasibility to perform point relaxation matching by the Hopfield neural network .

利用简单、稳健的Harris特征点和图像归一化原理提出了一种新的数字水印方案。

A digital watermarking scheme , which is based on combination of simple and reliable harris detector and image normalization , is proposed .

方法：图像特征点提取用数字图像处理技术得到，利用Matlab进行单元自动划分，得到有限元分析数据。

METHODS : The contour points were obtained by using digital image process . The Matlab software was used to differentiate automatically the elements and nodes so as to get data for finite element analysis .

这样一个Jet就描述了该特征点邻域的局部灰度信息，滤波器集采用了5个不同的频率和8个不同的方向。

Thus a jet describes a local neighborhood of gray-values around a feature point . The filter set is fixed and usually contains Gabor filters that have eight different orientations and five different central frequencies .

三实现基于Harris角探测和模板匹配法的彩色伪随机编码模板的图像特征点提取算法。

The algorithms of the image coordinate extraction of the pseudo-random color encoded pattern based on Harris corner detect and model matching method are implemented .

先利用Gabor小波进行特征点跟踪，其结果作为AAM的初始形状。

First the facial feature points were tracked with Gabor wavelet , then the result was used as the initial shape of the AAM .

单元采用面阵CCD传感器检测单元定位精度，通过检测光纤端部出射光斑的特征点以表征定位单元上光纤端部位置。

The unit uses matrix CCD to characterize the position of the end of the optical fiber of the fiber unit by measuring the position of light spot from the end of the optical fiber .

小波变换法是根据小波系数和信号特征点的关系检测QRS波。

We use wavelet transform algorithm to detect QRS complex in terms of the relation between the coefficient of wavelet and the characteristic points of ECG signal .

该方法利用手工确定结合计算机校正特征点的方法实现深度图的初步融合，然后运用改进ICP算法得到最终的三维人脸模型。

This method made use of manually chosen and computer calibrated feature points in the face . Then it applied the improved ICP algorithm to get the 3D face model .

利用Moravec算子提取特征点实现过程分析

The Analysis of the Implement Process of Moravec Operator

对于稀疏点云重建步骤，本文介绍了基于SIFT算子的特征点检测和匹配方法，并在此基础上阐述了利用运动中恢复结构（SFM）方法进行的稀疏点云生成过程。

The Structure from Motion ( SFM ) method based on SIFT feature detection and bundle adjustment is introduced in the sparse point cloud reconstruction step .

同时，用双频激光干涉仪测量CCD摄像机的移动距离，得到标定所需要的多个特征点在物面中的位置及在对应图像中的坐标位置。

Meanwhile , the exact displacement of the CCD camera can be measured by a double-frequency laser interferometer , the needed coordinates of the feature points in the object plane and in the correlative image plane are gained .