搜索资源列表
点云配准的ICP算法
- 点云数据配准中的ICP算法的matlab源码
pointcloudpeizhun
- 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
ICP
- 三维图像配准算法（ICP）,内含MATLAB文件icp.m。可以实现三维坐标的转换。-icp.m
callICP
- 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
register
- 点云的配准实验s-icp算法 实现两个点云数据的对准-A scale stretch method based on ICP for 3D data registration
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)
icp
- 各种ICP点云精配方法整合（传统ICP及其衍生模式）(An implementation of various ICP (iterative closest point) features.)
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.)
icp
- 3维点云的配准基本算法，基于pcl库的icp算法程序(pointcloud registration)
ICP
- 点云配准过程，就是求一个两个点云之间的旋转平移矩阵（rigid transform or euclidean transform 刚性变换或欧式变换），将源点云(source cloud)变换到目标点云(target cloud)相同的坐标系下。(Matching of two sets oPoint cloud registration process, is to get a two point cloud between the translation and rotation matri
srcFPFH
- 通过FPFH特征将点云进行配准，点云为部分重合的点云，并且有噪声(registration with FPFH)
源
- ndt3点云配准源码，平台时vs2013(Ndt3 point cloud registration source)
源
- 在vs2013平台上实现的基于ndt3的点云配准源码(Ndt3 point cloud registration source)
凳子点云数据
- 不同三维激光扫描角度下的凳子点云数据配准数据！用于icp算法配准的学习与参考(Different three-dimensional laser scanning angle of the stool point cloud data registration data! Learning and reference for ICP algorithm registration)
narf_pfh_sac_Registration
- 基于特征的点云全局配准算法： NARF特征点提取+PFH描述子计算+SAC-IA位姿变换计算。(Feature based global registration algorithm for point cloud: The NARF feature points are extracted + PFH descr iptors, and the calculation of + SAC-IA position and attitude transformation is calculate
registration
- 点云配准源码，包括ICP NDT 等(Point cloud registration source code)
LS
- 传统的点云配准方法，与最小二乘坐标转换相似，基于特征点的刚性变换配准方法(point cloud registration)
Hough3D特征点提取
- 可以用来提取Hough3D特征点，用于下一步的点云配准
Point Cloud Registion
- 给定两组点云，在matlab下进行点云配准(Given two sets of point clouds, point cloud registration is carried out under Matlab)
BuildOctree
- 为点云数据建立，八叉树结构。可用于点云配准、识别、重建。(Building octree structure for point cloud data)