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
ICP
- 实现了ICP算法，用于三维点云姿态估计，须从数据文件读入三维点-ICP Algorithm for Pose Estimation of 3D point cloud to be read from the data files into three-dimensional point
icp
- 用matlab实现点云匹配，做的icp函数，非常不错，可以下载啊，-Point cloud using matlab matching, do icp function, very good, you can download ah,
M.icp
- 基于ICP算法，用matlab来实现的点云配准函数，直接调用便可运行，并且都有注释，便于理解-Based on ICP algorithm, using matlab to realize the point cloud registration function can be called directly run, and have notes, easy to understand
ICP
- 一种点云数据的配准算法，可用于进一步的三维建模处理，配准效果良好。-One kind of point cloud data registration algorithm, three-dimensional modeling can be used for further processing, registration to good effect.
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
- 实现了ICP算法，用于三维点云姿态估计，须从数据文件读入三维点-ICP Algorithm for Pose Estimation of 3D point cloud to be read from the data files into three-dimensional point
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
DeskTTtop
- 【谷速软件网】matlab有偿编程 ICP点云 可以作为参考使用 学习利用-[Valley] matlab paid net speed software programming ICP point cloud can be used as references learn to use
ICPdianyunpipei
- 对两组点云数据进行ICP匹配，最近点迭代法，进行点云匹配，含有两组点云数据-Two sets of point cloud data for ICP match
icp
- 点云配准ICP算法,实现散乱点云的匹配,经典算法。基于MATLAB和VC实现,操作简单-point cloud ICP registration algorithm，classical algorithm of scattered point cloud matching . Based on MATLAB and VC implement, easy to operate.
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.
laser-kinect-pointcloud-register-icp
- 针对三维重建中的点云配准问题，提出一种基于点云特征的自动配准算法。利用微软Kinect传感器采集物 体的多视角深度图像，提取目标区域并转化为三维点云。对点云进行滤波并估计快速点特征直方图特征，结合双向 快速近似最近邻搜索算法得到初始对应点集，并使用随机采样一致性算法确定最终对应点集。根据奇异值分解法 求出点云的变换矩阵初始值，在初始配准的基础上运用迭代最近点算法做精细配准。实验结果表明，该配准方法既 保证了三维点云的配准质量，又降低了计算复杂度，具有较高的可操作性和鲁棒性。
ICP-test-master
- 经典的迭代最近点程序。ICP算法。该程序用来配准两片点云或者两幅图像。可以在Linux下运行，也可以在Windows下运行。-Classic iterative closest point in the program. ICP algorithm. The procedure used to registering two point cloud or two images. Can run under Linux, it can also run under Windows.
ICP算法
- 迭代最近点算法进行点云拼接，此程序为Matlab语言(Iterative closest point algorithm for point cloud mosaic)
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.)
ICP算法matlab实现
- 很好地实现了激光雷达点云的ICP配准，附带数据(ICP registration of LIDAR point cloud is well realized)