搜索资源列表
icp
- 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
ICP
- 点云数据的匹配处理，其中icp算法是经典的方法，其精度和可靠性比较好。-the registration of point cloud,icp is the registration method.
icp-by-Jakob-Wilm
- 使用ICP算法实现三维点云数据的自动配准-Automatic registration of 3D point cloud data using the ICP algorithm
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
icp
- Matlab经典的ICP点云配准算法，内部包含三个例子，亲测可用。-Matlab classic ICP point cloud registration algorithm. There are three examples in the Zip file. I have texted that it can be used successfully.
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
icp
- icp-svd算法实现三维点集的配准，c++结合matlab实现。-Icp-svd algorithm to achieve three-dimensional point set of the registration, c++ combined matlab achieve.
beslMcKayICP
- besl and McKay ICP, iterative closest point is a registration method for point clouds.
icpCpp
- ICP算法是实现多幅点云配准，配准效果好，精度高。(ICP algorithm is to achieve a number of point cloud registration, registration effect is good, high precision.)
ICPmatlab
- 三维点云配准，ICP迭代最近点法，用于两组数据之间的配准。(Three dimensional point cloud registration, ICP iteration, nearest point method.)
ICP minimal
- 最小函数实现ICP最邻近点迭代配准算法，实现速度要优于四元函数实现方式。(Iterative registration algorithm of ICP nearest neighbor points based on minimum function is faster than that based on quaternion function.)
ICP算法二维实现
- ICP算法实现自动配准，基于opencv及vs实现，是二维的(ICP algorithm for automatic registration, based on opencv and vs implementation, is two-dimensional)