搜索资源列表
gcode_zips
- Unzip this file into a writeable directory. You should end up with a \"Geocode\" project, as well as Bitmaps and TestData directories. This sample geocodes single-match zip codes, entered by the user, or a batch-match of a table of zips (and
IMPROVEDSUSANDETECT
- 经典的SUSAN角点检测算法经过改进的VC代码，可以用来提取灰度图象的特征点，用于匹配，运动估计，光流计算，形状分析等。- The classical SUSAN vertex examination algorithm after the improvement VC code, may use for to withdraw the gradation image characteristic point, uses in to match, the movement estimated
2006606081519
- MATLAB编写的图像在已知定位点的情况下图像的匹配！-MATLAB images to the known location of the point where the images match!
Hamming_NN
- Hamming 神经网络从功能上来看是最小Hamming 距离分类器．利用它能够完成不完整输入信息与所存储模式的最小汉明距离分类． Hamming 网络是一个双层神经网络，第一层网（即匹配子网络）是用来计算输入模式与该网络已经学习过的各样本之间的匹配测度．第二层网（即竞争子网络）接收从匹配子网络送来的未知模式与已存各样本的匹配测度，然后经过多次迭代运算就可以求得与输入模式相匹配的样本．-Hamming neural network from the functional point o
ransac
- ransac是常用的稳健计算机视觉的方法，可用于两幅影像的配准。本源代码用仿摄模型模拟两影像的几何变形，用ransac算法来剔除错误匹配点，得到最终的仿摄参数。-ransac is commonly used in computer vision of a stable, two images can be used for the registration. Imitating source code model perturbation two images of the geometric
F_24_method
- 24種解F矩陣的方法,可以用來處理匹配點和重建3D環境-24 F matrix solution methods can be used to handle match point and 3D reconstruction of the environment
matchbycorrelation
- MATCHBYCORRELATION - match image feature points by correlation.Function generates putative matches between previously detected feature points in two images by looking for points that are maximally correlated with each other within windows surrounding
Senfore_DragDrop_v4.1
- Drag and Drop Component Suite Version 4.1 Field test 5, released 16-dec-2001 ?1997-2001 Angus Johnson & Anders Melander http://www.melander.dk/delphi/dragdrop/ ------------------------------------------- Table of Contents: ----------------------
CSSNCC
- CSS对边缘图像进行特征点提取然后用改进的NCC算法进行匹配-Using CSS in edge to extract image feature point and then using the modified NCC to match
match-of-two-picture
- 使用matlab实现两幅彩色图像的配准，并且显示它们的匹配点。-It realize the match of two color pictures and show the match point of them.
wode1
- 是一个很好的图像拼接程序，先用sift算法提取两幅图片的特征点再用算法筛去错配点，把匹配点用线连接起来，注意：主函数是match.m，运行主函数后在命令框输入运行match( image1.jpg , image2.jpg )-Is a good image stitching program, the first two pictures with the sift algorithm feature extraction algorithm and then weed out the wro
Fns
- 一些图像处理常用的函数，包括图像之间的点匹配、鲁棒性估计、图像旋转、基本矩阵的求解、单应矩阵求解等，可用于摄像机标定-Commonly used in a number of image processing functions, including point match between the image and robustness of the estimates, image rotation, solve the fundamental matrix, homography solv
multiple-view-match-under-gui
- 将点匹配方法包括harris，sift,susan集成在GUI中显示，还包含了边缘的检测与直线的提取，此外还可以进行线分组，程序可直接运行-Harris, sift, susan point matching method is integrated in the GUI display also includes the extraction of edge detection and linear addition line grouping, the program can be run
Angle-point-image-registration
- 针对多幅图像之间的图像配准问题，该文提出了一种新的图像自动配准算法。该算法应用Harris 角点检测方法获得角点信息。在匹配过程中。采用圆形区域和双向相关系数法进行相似性度量。采用圆 形区域，很好的解决了旋转问题；采用双向相关系数法，更加保证了匹配的精确度，减少误匹配率。初步 实验结果表明：该方法可以高效短时地实现图像间的自动配准。-Image registration problem between multiple images of the paper, a new autom
harris-match
- harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接-harris corner detection, and realize two image feature point matching, the final completion of image stitching
fast-interest-point-
- 程序是提取目标的fast的特征点，fast的特征点的好处是速度方面有比较大的优势，对于实时监控等一些应用可以考虑这种局部匹配-Program is to extract feature points target fast benefits fast feature points is relatively large speed advantage for some applications, such as real-time monitoring can be considered suc
38.KMP-String-match-algorithm
- KMP 快速模式串匹配查找算法。 与一般的字符串匹配算法不同在于，匹配中某个字符不同时，并不是把指针退回原点，而是从第二个匹配点开始匹配。-KMP fast string match algorithm, difference to common match algorithm is not back to original point when fail in matching letters.
pipei
- 实现影像的匹配算法，匹配二度同名点，匹配三度同名点-Realize image matching algorithm, the second time with the same name match point, match point three degrees of the same name
Match-point-correlation-coefficient
- 相关系数法的点匹配 void draw(int x,int y,Mat mat,Mat mod,int xx,int yy)通过十字丝表明匹配点 void ImgMarch(Mat s,Mat m,Mat roi,int x,int y)相关系数法匹配函数-Match point correlation coefficient method void draw (int x, int y, Mat mat, Mat mod, int xx, int yy) indicate the
quickly match
- 基于亮度/色彩一致性，在SURF算法的基础上提出了一种快速图像特征点匹配算法，可以缩小特征点匹配所需的运行时间，提高正确匹配率。(Based on the brightness / color consistency, a fast image feature point matching algorithm based on SURF algorithm is proposed, which can reduce the running time of feature point matchi