搜索资源列表
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
Rectification_epipolar
- hartley弱相机标定的立体像对极线校正。输入是立体像对对应的匹配点,输出是已经校正好的图像 这里对图像的角度有要求,如果拍摄角度太大 可能校正不了 而且匹配点对的精确性也有要求,建议最好经过错误点剔除之后的匹配点作为输入-epipolar rectification
123
- 一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图 像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造 相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图 像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of inform
stereo
- 立体匹配的源码,可以计算两幅图像的视差,并可以做简单的重建。-Stereo matching of source code, can be calculated two parallax images, and can be easy to do the reconstruction.
xiangweidianpipei
- 基于相位角点检测的特征匹配研究,很好用的。-Corner detection based on phase matching of the characteristics of research, a good use.
newmatch
- 对两幅图像进行角点检测,并对检测到的角点进行特征匹配,效果非常好,误匹配率非常低,耗时仅9毫秒-Two images of the corner detection, and detects the angular point feature matching, the effect is very good, very low false match rate, time-consuming only 9 ms
jiaodiaoMatch
- vc 写的一个角点匹配程序,带有实验用的图,很文便,好用,要用的就下吧。-vc wrote a corner matching program with experimental plans, it is the text of it, easy to use, use of on the next bar.
200892174420583
- 这是一个图像匹配中去除误匹配点经常用到的算法。-This is an image matching error matching points removed frequently used algorithms.
An_automatic_image_stitching_algorithm_based_on_fe
- 本文提出一种图像特征点匹配算法,并在该算法的基础上形成构建全景图的图像拼接算法. 此算法采用 Harris角检测算子进行特征点提取,并为其分配特征描述符.-This paper presents an image feature point matching algorithm and the algorithm is based on building a panoramic image mosaic algorithm graph. This angle detection algori
51478222fast_select
- 在快匹配运动估计算法中,它的计算复杂度可以描述成:运算量=搜索点×块匹配准则.该表达式可以这样解释,在快匹配准则确定的情况下,如果一个匹配点的单位运算量确定了,这时动动估计的动算量就有直接取于搜索的点数,也就是取决于运动估计的搜索算法,实现了三步搜索法-Match the fast motion estimation algorithm, its computational complexity can be described as: Operational × volume = search
vicinalboost-1.0.tar
- 经典的特征点匹配算法sift算法的实现程序,具有一定的参考价值-sift
sift
- 提取SIFT特征点并加以匹配,提供了UI来看一幅图片中的特征点匹配程度-extract the SIFT features, and provide UI to show how much they match.
shero
- 基于像素的图像特征点匹配,很好,很强大,一定要试试。 -Pixel-based image feature points matching,very good.You have to try it.
corners
- 从网上找的C++编写的角点匹配程序,不敢独享,拿来分享-From the Internet to find the C++ written in corner matching process, not exclusive, brought to share
pipei
- 基于角点特征的图像匹配的几个代码~~较为详细-Corner Feature-based image matching of several more detailed code ~ ~ ~ ~ ~
Max_CCM
- 用于图像配准,角点提取后采用相关系数法进行特征匹配-For image registration, corner detection using correlation coefficient method after the feature matching
ImgMatch
- 提取两张航测相片的匹配点,摄影测量上面的重要内容,这里选用的是Moveric提取点然后用相关系数法提取同名点。-Extraction of two aerial photos of the match points, photogrammetry, an important part of the above, where the choices are Moveric extraction point then extracted using the correlation coefficie
Dataregistrationin3-Dscanningsystems
- 通过引入特征点和改进最近点迭代法, 提出了一种 在三维扫描系统中对三维点云数据进行配准的方法。该方法 通过对特征点的提取, 首先得到一组匹配点对, 然后运用 SVD 矩阵分解算法求出转换参数R 和T, 进而以此作为最 近点迭代法的初始值, 并对最近点的求法和迭代截止条件作 了改进, 得到了很好的配准效果。该文论述了该方法的基本 原理, 并通过不同视觉下物体三维测量点云数据配准的应用 实例证明了该方法的有效性。-A 3-D meas uring dat a r egis
homework
- 双目视觉三维重建程序,输入左右相机匹配点对矩阵,自动计算投影矩阵,并输出射影空间下的三维点坐标-Binocular vision three-dimensional reconstruction program, enter the matching points on the matrix around the camera to automatically calculate the projection matrix, and output under the three-dimensio