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2下载：
人工选取控制点的多项式图像配准matlab代码。程序运行后，在弹出的第一副图像中利用鼠标选择控制点（多于3个），双击结束。然后在弹出的第二副待配准的图像中同样选取相应的控制点，双击结束。运行结果就会输出配准后的图像。-artificial selected control point polynomial Image Registration Matlab code. Running after the ejection of the first vice images using the mo
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利用harris角点和Ncc实现了图像的配准，可以处理彩色图像 效果比较好,The use of harris corner point and Ncc realize image registration, can handle color image results were better
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Point Set Registration: Coherent Point Drift 的源代码-Source code of Andriy Myronenko, Xubo Song, "Point Set Registration: Coherent Point Drift," IEEE Transactions on Pattern Analysis and Machine Intelligence, 25 Feb. 2010. IEEE computer Society Digital
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使用薄板样条函数，完成点对的非刚体配准方法。此类提供算法的封装。-Use of Thin plate spline, the completion point of the non-rigid registration method. Such packages provide the algorithm.-
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可以在harris角点检测和ncc粗匹配之后实现精确准确的角点匹配，为下一步配准做准备-Can the Harris corner detection and NCC coarse matching after achieve precise accurate angular point matching, preparing for the next registration
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针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteris
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根据标靶的坐标（控制点），运用高斯-约当法进行矩阵的求逆和转换，进行三维点云数据的配准，输入数据文件在压缩包中有原例，请参考！-In accordance with the target coordinates (control points), the use of Gauss- Jordan method of matrix inversion and transformation, three-dimensional point cloud data registration, enter
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随机抽样一致算法RANSAC，在图像配准中可以用于去除不精确的匹配点。-Random sample consensus algorithm RANSAC, in the image registration can be used to remove inaccurate matching point.
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实现基于点特征的多源遥感图像
配准技术，并实现了拼接。可以参见我的论文《基于点特征的多源遥感图像
配准技术》-A point-based approach to multi-source remote sensing image registration
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matlab program about image registration feature point based
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使用vc++实现ICP配准算法，编译成动态链接库，通过调用CallICP函数可以实现两组点云之间的配准-Using vc++ to achieve ICP registration algorithm, compiled into a dynamic link library, by calling CallICP function can be achieved between the two sets of point cloud registration
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用来实现点云数据的配准和融合，是本人自己写的代码，希望和大家多多交流-Be used to achieve the point cloud data registration and fusion, is the code I wrote it myself, hope and encourage more exchanges between people
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基于harris角点特征的图像配准程序，首先改进Harris角点检测算子，以便准确提取样本图像的特征点并赋予特征描述符。-Harris corner feature based image registration procedures, the first improved Harris corner detection operator for accurate feature point extraction and sample images are given descr iptors
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基于遗传迭代最近点算法的激光数据配准Iterative closest point algorithm based on genetic data registration of laser-Iterative closest point algorithm based on genetic data registration of laser
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This an implementation of the Iterative Closest Point (ICP) algorithm.
The function takes two data sets and registers data2 with data1. It is
assumed that data1 and data2 are in approximation registration. The code
iterates till no more corresp
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point registration routine
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The Point Cloud Library (or PCL) is a large scale, open project for point cloud processing.
The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitt
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稳健点集配准的高斯混合模型程序。可用于轮廓提取后的图像配准。-Robust point set registration process Gaussian mixture model. After the contour extraction can be used for image registration.
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实现 super4pcs 的算法。实现点云的配准(for Super4pcs algorithm . for cloud point registration.)
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PCL,Point Cloud Library,介绍PCL基本功能，3D点云数据处理(PCL,Point Cloud Library,basic funcyion of introduction of PCL)
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