搜索资源列表
Efficient_Variants_of_the_ICP_Algorithm
- 斯坦福的一片文章 综述了迭代最近点算法的各种改进 客观地比较了他们优劣 提出了一个实时的高效组合 做点云配准必读-an artical from Stanforda. summarizes the variant of iterative closest point algorithm and objectively compare the advantages and disadvantages, finily proposed combination with a high-speed r
ICP1
- ICP algorithm for point cloud data
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.
icp3d
- 基于K-D tree的ICP算法的C代码，可以用于点云匹配。代码有注释。简单易懂。适合初学者研究学习。-ICP algorithm based KD tree C code that can be used to match point cloud. Code annotated. Easy to understand. Suitable for beginners to learn.
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
ICP
- 可以运行的ICP源码 进行点云的配准 进行四暗运的刚体变换 有变换矩阵和变换向量-ICP source code can be run point cloud registration
sour
- 点云配准的ICP代码的输出 可以输出变换矩阵和变换向量-Output point cloud registration of ICP codes can be output transformation matrix and transformation vector
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
icp
- icp算法，迭代最近点算法，拟合两个点云，达到点云的对齐-icp algorithm, iterative closest point algorithm, fitting two point clouds, reaching the point cloud alignment
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.
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.
SourcesNew
- Point cloud alignment: ICP methods compared
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.)
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)
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)
点云数据ICP
- 激光雷达点云数据拟合点云拟合icp算法(Point cloud fitting ICP algorithm for LIDAR point cloud data)