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texture3
- 本程序在对图像进行纹理分析（基于共发矩阵的方法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (based on total fat matrix method), on the basis of access to different regions of the image texture features, these featur
textureA2
- 本程序在对图像进行纹理分析（由于共发矩阵的方法效果很不好，本程序采用基于频率域的纹理分析算法）的基础上，获取图像不同区域的纹理特征，针对这些纹理特征，采用聚类（K-mean)的分类算法对图像进行区域划分！-procedures in the right image texture analysis (due to a total of hair matrix, the effect is very bad, the program uses a frequency domain based on
ComputeBasicMatrix
- 计算机视觉 基础矩阵的计算，利用标准8点法计算基础矩阵
FundamentalMatrix.zip
- 本程序主要是关于求解基础矩阵的，比较简单 主要采用opencv函数库编程。大家可以下下来参考下。,This procedure is mainly on solving the fundamental matrix, and mainly uses a relatively simple programming opencv library. We can refer to the following down under.
wenli
- 分析了纹理特征提取方法，特别是灰度共生矩阵的方法和 Gabo:小波矩的方法。并在这两种方法的基础上提出了综合灰度共生矩阵和 Gbaor小波矩的纹理特征提取方法并用于图像检索。 -matlab
BinocularComputerVisionFundmentalMatrix_VC
- 计算机双目视觉的重要技术，基础矩阵的计算，VC源码，利用到OpenCV环境和Mablab库.-The importance of binocular vision of computer technology, based on matrix calculation, VC source, using the OpenCV library environment and Mablab.
fundamentalmatrix
- 在matlab中自己绘制几何图形，然后建立对极几何的基础矩阵-In matlab draw in their geometry, and then establish the basis for a very geometric matrix
improveeight
- matlab代码 用改进的八点算法求基础矩阵，进而求本质矩阵及相机外参。-improve eight
wenlituxiangtezhengtiqu
- 灰度共生矩阵反映了图像灰度关于方向、相邻间隔、变化幅度的综合信息，它可作为分析图像基元和排列结构的信息。作为纹理分析的特征量，往往不是直接应用计算的灰度共生矩阵，而是在灰度共生矩阵的基础上再提取纹理特征量。该段代码是对纹理特征的提取。-Gray symbiotic matrix reflects the image grey about the direction, and adjacent interval, change the amplitude of the comprehensive
pbm_src
- Projection Based M-Estimator ,一个基于M -Estimator估计器的投影程序，能够很好的估计，计算机图像领域的线性、异方差（椭圆和 基础矩阵）和子空间等。- using the base class for linear, heteroscedastic (ellipse and fundamental matrix) and subspace estimation are included in the program.
3D-Reconstruction
- 基于多幅图像序列的三维重建（硕士毕业论文） 关键字：特征点提取，特征点匹配，基础矩阵，本质矩阵，RANSAC，三维重建。-3D Reconstruction Based on Image Sequences
ijcv-08
- 一种求解基础矩阵的方法，matlab实现-Solving the fundamental matrix method, matlab achieve
image-matching-using-surf-and-ransac
- 对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descr iptor, then according to the results, the coars
FundamentalMatrix
- 计算基础矩阵的c++程序，已经调试通过，可以运行-Calculated on the basis matrix c++ program debugging has been passed, you can run
Extraction-of-Focal-Lengths
- 一篇经典的从基础矩阵提取焦距的方法，该方法存在提取失败的可能-A classic method for extracting a focal length the base matrix, there is the possibility of failure of the extraction method
RANSACPharris
- 运用harris提取角点，并通过领域检测获得初始匹配。通过RANSAC算法对初始匹配进行计算，在获得基础矩阵F的同时，获得精确匹配点。-Using Harris to extract corner points and obtain the initial matching through the field detection. The initial matching is calculated by RANSAC algorithm, and the exact matching poin
estimateF
- 首先通过特征提取，匹配，可以计算基础矩阵，用于之后的运用-By using the first feature extraction, matching, can calculate the fundamental matrix for later
fundmatrix
- 由图像估计出摄像机的旋转运动；基于RANSAC求解基础矩阵，并由内参求得本质矩阵，最终得到旋转矩阵。内附图像-The rotation motion of the camera is estimated the image. Based on RANSAC, the basic matrix is solved, and the essential matrix is obtained the internal parameters, and finally the rotation mat
机器视觉
- 单目视觉从图像中求取物体长度；多目视觉求基础矩阵并画极线；摄像机标定(The length of the object is obtained from the image by monocular vision; the multiocular vision is used to find the basic matrix and draw the pole line; the camera calibration is calibrated.)
DLT变换
- 对单幅图像中的三维坐标进行标定，求解基础矩阵，后指定空间坐标点在图像上标定出来。 算法应该是对的，魔方上的点间隔太大，点选得不好导致误差有点大。(The three-dimensional coordinates in a single image are calibrated, the basic matrix is solved, and then the specified spatial coordinate points are calibrated on the image. Th