搜索资源列表
ICP
- ICP算法,主要用于三维点云数据的配准，最近点迭代算法，可以收敛到局部最小-registration of point cloud data,the iterated close point algorithm
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.
icp
- ICP算法实现点云配准,在pcl点云库课本第13章第二节实例的基础上进行了改进，实现了更精确配准-ICP algorithm for point cloud registration, in Chapter 13, Section instance pcl basis point cloud library textbook has been improved to achieve a more accurate registration
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
icp.m
- 三维点云配准，icp原代码，亲测有效，适合初学者学习。-3D point cloud registration, icp source code, effective pro-test, suitable for beginners to learn.
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
registration-dual-quatanion
- 基于对偶四元数的多个视图的配准方法源代码，这是一种全局配准的优化方法，一般迭代最近邻方法在配准多个视图时会产生累计误差，这个时候就可以使用本方法消除这种累计误差。- This is the code for the famous paper Multiview Registration via Graph Diffusion of Dual Quaternions 。It can reduce the cumulated error through ICP registration alg
ICP算法实现
- 用于点云配准的实现，具体来说是ICP算法，配准效果好(ICP algorithm is realized, and the registration effect is good)
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.)