搜索资源列表
ICP_Iterative-Closest-Point_VTK
- ICP算法Iterative Closest Point及VTK实现.ICP算法最初由Besl和Mckey提出，是一种基于轮廓特征的点配准方法。-ICP algorithm _Iterative Closest Point and VTK to achieve. ICP algorithm originally developed by Besl and Mckey proposed is based on contour feature point registration method.
IterativeClosestPointsTransform
- vtk里面关于ICP点云配准的程序，调试可用。-vtk inside on ICP point cloud registration procedures, debugging is available.
libicp
- icp算法C++实例，用于点集的配准，实现两片点云数据的拼接-icp algorithm C++ instance, used for the registration point set to achieve splice two pieces of point cloud data
fitzgibbon01c
- 医学图像配准，医学图像2D_3D配准，基于vc++开发。-This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose nonlinear optimization (the Levenberg-Marquardt algorithm). The surprising conclusion of
iterative_closest_point
- ICP算法在点云数据配准方面的一个例子，可以参考-An example of ICP algorithm in terms of point cloud data registration, you can refer
pdist2plus
- In point set analysis, it is useful to compare 2 sets of points by computing the distance between each possible point pair. For example, this is a required step in the ICP point set registration algorithm. MATLAB s built in function for computing the
ICPandKD_TREE-function
- icp算法的实现和kd-tree功能的实现，实现了三维激光扫描仪获取的多视点云配准和建立离散点间的拓扑关系，实现基于领域关系的快速查找。-kd-tree implementation and realization of function icp algorithm to achieve a multi-view point cloud registration and establish topological relations between discrete points, field-
ConsoleApplication1
- icp算法三维点云数据配准方法，配准算法的研究对于三维数字处理技术领域有着非 常重要的意义。 -Three dimensional point cloud data registration method based on ICP algorithm, the research of registration algorithm has a very important significance in the field of 3D digital processing technology.
3DpointREG-V3
- 基于ICP的 3D 点云拼接,main.m是主程序-Based on ICP' s 3D point clouds registration, main.m is the main program
register
- icp算法源代码，主要用于点云拼合，是基于matlab上编写的,实现两个点云数据的对准-ICP algorithm source code, mainly used for point cloud registration, is prepared based on MATLAB, the realization of the two point cloud data alignment
hs176wz11
- 适合中小型企业自主建设网站，带有全套的后台管理系统，模版在线升级 非注册版用户可免费输入30条数据，网站页面生成不计算在内 v1.1更新： 修正上传ICP证书BUG 优化系统 改进用户注册功能 修改网页生成模块，可批量生成网页，添加邮件通知功能 用户名：admin 密码：pa-Suitable for small and medium enterprises to build their own websites, with a full set of background management
Go-ICP_V1.3
- Go ICP for the registration of point couds
迭代最近点算法综述
- 三维点集配准问题是计算机技术中的一个极其重要的问题，作为解决三维点集配准问题的一个应用较为广泛的算法，ICP算法得到了研究者的关注，本文以一种全新的思路从配准元素的选择、配准策略的确定和误差函数的求解等3个方面对三维点集配准的ICP算法的各种改进和优化进行了分类和总结。(The three-dimensional point set registration problem is an extremely important issue in computer technology. As an
sac+icp配准
- sac粗配准 icp精配准 实现三维点云配准(sac icp point cloud registration)
PointSetAlign
- 3D点云拼接,实现旋转平台点云，ICP配准。点云格式ply，标定好旋转轴后实现拼接然后配准(3D point cloud splicing, rotating platform point cloud, ICP registration. Point cloud format ply, after calibrating the rotating axis, realize registration and registration.)
3D_ICP-master
- 对三维点云进行处理，用ICP算法进行配准(Processing three-dimensional point cloud and registration with ICP algorithm)
ICP
- 实现二维图像配准，需要结合opencv使用具体配置(To achieve two-dimensional image registration, you need to use specific configuration in conjunction with opencv)