搜索资源列表
sift-match.sift特征点提取代码
- sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配，可用于图像拼接等。c和matlab代码都有,sift feature point extraction code and the two images after the extraction of feature points matching feature points that can be used, such as image stitching. both c and matlab code
用opencv类库两副图像的特征点匹配
- 两副图像的特征点匹配，其中用了opencv类库，功能包括：特征点的亚像素精度检测，特征点初始匹配，基本矩阵计算及对极约束引导匹配等。matcher.rar网上的都是有错误，而且缺少类库，我把错误改正了，把所有需要的类库都加上了，现在已经编译通过，保证能运行！希望大家喜欢,2 points, matching the characteristics of images, which used the opencv library, features include: Feature Point D
Stereo.zip
- 使用SSD（sum squared differences）算法进行双摄像机图像匹配点计算，基于OpenCv的C++代码实现,Using SSD (sum squared differences) algorithm dual camera image matching points calculation, based on the OpenCv the C++ Code
基于OpenCV的SIFT特征点提取进行匹配的程序
- 基于OpenCV的SIFT特征点提取进行匹配的程序，程序中采用了两幅图像，匹配后可进行放射变换-OpenCV based on SIFT feature point extraction of matching procedures, the procedures used in the two images, match after radiation transformation
java_imageprocess
- 一个简单的图形匹配源代码，两张图片选取3个特征点对比匹配-A simple graphics to match the source code, two images selected three feature points matching contrast
An.Image.Mosaic.Algorithm.Based.on.Matching.Shape.
- 提 出了一种基于形状模板 匹配的图像 自动拼接 方法。提取 图像 的角点作 为特 征点，利用归一化梯度模板对 其进行预 匹配．然后 利用形状模板在 四个方 向对模板 内图像的边缘 点与模板边界的最短距 离进行统计 ，获取模板 图像的 结构特征向量以实现对特征点的精确匹配。实验结果表明该算法具有较好的实用价值。 -A shape-based template matching method of image auto-splicing. Extract image feature po
windowxishudianpipei
- 基于窗口稀疏点匹配以及三维重建，包括了示例图片以及执行文件-Sparse points matching based on window and reconstruction, including a sample image and perform file
I_14
- 本文对指纹特征点的提取，特征点的匹配，用matlab进行了实现-In this paper, the fingerprint feature points extraction, feature point matching, was realized with matlab
GraphTheoryAlgorithmMATLAB
- 图论算法及其MATLAB 程序代码 1.求赋权图G = (V, E , F )中任意两点间的最短路的Warshall-Floyd 算法、Kruskal 避圈法 2.求二部图G 的最大匹配的算法(匈牙利算法)、利用可行点标记求最佳匹配的算法 3.从一个可行流f 开始, 求最大流的Ford--Fulkerson 标号算法 6.-Graph Theory Algorithm and MATLAB program code 1. Seeking weighted graph G = (V
Anautomaticimagestitchingalgorithmbasedonfeaturema
- This paper presents an image feature matching algorithm，based on what an image stitching algorithm can be fune— tioning．In this algorithm，Harris comer detector is used to extract featum points-This paper presents an image feature matching algorithm
match
- 一个简单的图形匹配源代码，两张图片选取3个特征点对比匹配-A simple shape matching source code, two pictures selected three feature points matching contrast
pyramid
- 基于金字塔对灰度图像进行分层，按由粗到精的方法对左右航片进行特征提取，根据特征点对影像对进行影像匹配！-Based on the Pyramid of the stratified gray-scale images, according to the coarse-to-fine method of flight films about feature extraction, according to feature points on the image to image matching
data_structure
- 1.表达式求值；2.二分匹配模板；3.最大流；4.点到线段的距离；5.字符串字典顺序-1. Expression evaluation 2. Two sub-matching template 3. Maximum flow 4. Points to the distance segment 5. String dictionary order
SIFT
- SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 -SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching
NCC-and-the-SSDA-based-feature-points-matching-the
- 基于NCC与SSDA的快速特征点匹配融合算法（图像匹配）-NCC and the SSDA-based feature points matching the rapid integration algorithm (matching)
feature-points-matching
- 对灰度差绝对平均值算法匹配次数多，不具有旋转不变性等缺点，提出一种新的目标识别方法。匹配准则采用具 有环形结构的子窗口内的像素差加毂和的形式表示，保证了算法具有旋转不变性。对模板图像中的特征点按照匹配准则分 别在目标图像中找到相应的匹配点，从而完成匹配操作，与传统的相关匹配算法相比，大大减少了匹配次数。对于因遮挡而 丢失的特征点，可根据已匹配特征点之问的相对距离来重新确定，从而实现目标识别的功能。仿真实验验证了该算法的有 效性。-A new target recognition
corresponding-points-matching-
- 输入两张图像，将自动进行同名点匹配，改程序主要应用与计算机视觉和遥感测量领域内。-For two pictures,which has the same object,the same points would be find use the program. This method is always used in the fileds of computer vison and remote sensinig survery.
RS--tie-points-matching
- 影像特征提取与同名点匹配,读取图像，在窗口中显示，提取特征点（“+”表示），匹配同名像点（“+”表示）,列表显示各特征点和匹配点的像素坐标位置-Image feature point extraction and matching tie points,Read image displayed in the window, extracts feature points ("+" indication), the same name as the matching point ("+" indi
Use-the-feature-point-matching-FLANN
- 使用FLANN进行特征点的匹配 VS2010+Opencv2.49-Use FLANN feature points matching VS2010+ Opencv2.49
Matching
- 数字摄影测量中的最小二乘匹配算法，带示例图像(Feature points matching using LSTM)