搜索资源列表
datamigration-
- 数据库自动配置检索局域网服务器，数据的自动定点执行设置匹配分析。-Automatic fixed-point data execution settings match analysis
lab2
- 动态规划法的应用 1．用动态规划法实现两个虚拟DNA序列的比对。 2．记分方法为：匹配给5分，不匹配给1分，插入、删除给－2分。 要求生成的比对具有最大总和。-The application of a dynamic programming method. Using dynamic programming method to achieve two virtual DNA sequence comparison. 2. Scoring method: match to 5 po
Stereo-Edge-Matching
- 种新的针对山体图像边缘的立体匹配算法。为了保证匹配的准确性，首先引入极线方向上的 视差梯度约束，然后在考察唯一性的基础上，通过搜索并考察边缘端点周围的角点信息来引导边缘的匹配，并且限定边缘端点的角点搜索范围，最终匹配结果保证了两幅图像中的匹配对是一对一的唯一对应。-A newfast stereo edge-matching algorithm based on mountain images is presented．In order to ensure the accuracy of
MatchLSM
- 1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点（若要进行下一步匹配则不建议显示，这里只是用于查看是否提取出）4.相关系数匹配（只在找出的同名点内匹配）5.LSM最小二乘匹配（先进行粗匹配，再精匹配）-1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommend
image-matching--
- 首先对图像 进行高斯和 Wallis 滤波处理，然后采用简化 SIFT 算法进行特征点提取，最后通过特征点双向 匹配方法实现图像的精确匹配。通过对缺陷版图图像的试验验证了该方法具有匹配点数量 多、准确率高、无重复点等优点。-First of all Gaussian image filtering and Wallis and simplified SIFT feature point extraction algorithm, and finally through the fea
tuxiangpipei
- 本源码用于双目立体视觉图像特征点检测以及对应点匹配，包括检测代码以及匹配代码部分。-The source for binocular stereo vision image feature detection and the corresponding point matching, including the detection code, and match the code section.
acad2000
- === 命令说明====== zq--上一缩放zoom p zd--动态缩放zoom d ze--范围缩放zoom z z--zoom v--移动move c--复制copy q--平移pan t--偏移offset tt--镜像mirror rt--旋转rotate dss--距离dist aa--圆circle g--直线line gg--多段线pline dt--单行文本dtext r--放弃
harrismatch
- 该程序采用harris角点检测，使用ncc进行初匹配，双向重复搜索后得到特征匹配点。-The program uses harris corner detection, using ncc conducted early match, after a two-way repeated search feature to get the matching point.
pipei_3D_2D
- 基于kinect相机获取的图片，通过改程序可以对3D点对2D点进行匹配，从而确定相机参数是否正确，同时还可以获取图像的视觉里程。-Based kinect camera to get a picture, you can change the program through point-to-2D point on the 3D match to determine the camera parameters are correct, but also can get a visual imag
Sruf-cpp
- surf特征点匹配，使用surf特征对两幅图进行匹配-surf feature point matching, use surf to match the characteristics of the two plans
icp3d
- 基于K-D tree的ICP算法的C代码，可以用于点云匹配。代码有注释。简单易懂。适合初学者研究学习。-ICP algorithm based KD tree C code that can be used to match point cloud. Code annotated. Easy to understand. Suitable for beginners to learn.
DTW
- DTW算法的程序，申请两个n*m的矩阵D、d,分别为累积距离和帧匹配距离。这里n和m为测试模版与参考模版的帧数。然后通过一个循环计算两个模版的帧匹配距离d。接下来进行动态规划，为每个格点 （i，j）都计算其三个可能的前续格点的累积距离D1，D2，D3。考虑到边界问题，有些前续格点可能不存在，因此加入一些判断条件最后利用最小值函数min()，找到三个前续格点的累积 距离作为累积距离，与当前帧的匹配距离d（i，j）相加，作为当前格点的累积距离。该计算过程一直达到格点（n，m），并将D（n，m）输出，
MATLAB_SIFT
- SIFT特征点检测算法，matlab实现的，程序里还有匹配部分功能-SIFT feature point detection algorithm, matlab implementation, program as well as some features match
hongdong_9pt
- 九点算法，计算机视觉,用来求两幅图像的匹配点。-Nine algorithms, computer vision, to find two images match point.
SIFT
- 一个很好的sift算法实例，有图有真相，可以实现特征点匹配，并将两幅图像的匹配点连线，还可以实现拼接，内有几个demo。帮助大家学习。-A good sift algorithm instance, there are pictures and the truth, you can achieve the matching feature points, and the two images match point connection, you can also achieve stitchi
VS2010surf-DETCET
- VS2010上实现SURF算法对单张图片进行特征点检测并将特征点标出，注意此程序并没有2张图片的匹配-The realization of a single picture VS2010 SURF algorithm for feature point detection and feature points marked, note that this program does not match two pictures
pdist2plus
- In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. For example, this is a required step in the ICP point set registration algorithm. MATLAB s built in function for computing the
IGARSS2012Soukal_abstract
- AUTOMATIC POINT MATCHING BETWEEN SAR AND OPTICAL IMAGES, MATCH-POINT QUALITY CHARACTERISATION AND ERROR DETECTION paper
CorreMatch
- 图像的简单匹配程序，在左影像上点一点，然后使用相关系数法在右影像上进行全局遍历，找到相关系数最大的点，设为匹配的目标点。-Simple image matching program, the image on the left point a little, and then use the correlation coefficient on the right image globally traversal, find the maximum point of the correlatio
ICPdianyunpipei
- 对两组点云数据进行ICP匹配，最近点迭代法，进行点云匹配，含有两组点云数据-Two sets of point cloud data for ICP match