搜索资源列表
point-cloud-simplification-
- 激光点云的抽稀算法，可以选择抽稀的倍数， VS2010所写，完整的程序 下载就能运行-Laser point cloud simplification algorithms
MyKD_Tree
- KD树算法，能够实现对点云数据进行压缩，非常简单，适用于初学者-KD tree algorithm, can achieve the point cloud data compression, very simple, suitable for beginners
read_pointcloud
- 可以读取wrl文件中的点云，输出为点云的三维坐标，用matlab编写。
example
- 用于点云数据的简化，选出最小包围方格中的重心以达到数据缩减-The minimum bounding box method, used to process point cloud data, solving the point cloud data in virtual grid in the center of gravity, can be used for data reduction
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.
tezhengtiqu
- 将点云数据进行读取，并获得点云模型的边界特征点-The point cloud data is read, and the boundary feature points of the point cloud model are obtained.
random_sample_consensus
- PCL 点云数据处理，采样一致性,基于随机采样一致性的应用，具有较好的使用价值-point cloud random_sample_consensus
narf_feature_extraction
- pcl point 选择点云数据中的关键点，对点云识别具有重要应用，值得学习- pcl point the point cloud data in the key points of the point cloud recognition has important applications, it is worth learning
normal_estimation
- pcl 点云法线估计代码，法线估计在点云数据处理中具有很多用途- pcl point cloud normal estimate code, the normal estimate has many uses in the point cloud data processing
registration
- point cloud 点云配准计算，通过选择几组匹配的点云数据对对点云数据进行配准处理-point cloud point cloud registration computing, by selecting a set of match point cloud data point cloud data registration process
iterative
- point cloud 点云数据配准迭代算法-point cloud point cloud data registration iterative algorithm
dianyunyasuoxianshi
- 通过对曲率压缩法的改进 实现电云的压缩 并显示压缩后的点云数据-By compressing method improvement curvature point cloud compression and display the point cloud data compressed
shujutianjiazaoseng
- 为点云数据自动添加随机噪声，可供点云数据处理者自动生成实验数据使用-The point cloud data automatically adding random noise to automatically generate test data to use for point cloud data processor
findPointNormals
- 基于kd-tree搜索算法，利用局部邻域的平面拟合，检测三维点云数据的法线方向- Estimates the normals of a sparse set of n 3d points by using a set of the closest neighbours to approximate a plane.
triangulation_svg
- MATLAB点云处理程序，将点云进行三角化-TRIANGULATION_SVG plots a triangulated set of nodes.
CircleFitByTaubin
- 这个算法程序是现在最经典的点云算法程序，希望对大家有用-This algorithm is now the most classic point cloud algorithm procedures, we hope to be useful
Point-cloud-normal
- 在对散乱点云进行三维重建时，许多算法都需要求点云的法矢并保证所有法矢的方向一致向外。本程序就是对点云数据求法矢和方向调整，包含文件输入输出的完整程序。-Scattered normals strike and reorientation
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
matlab
- 使用matlab实现三维建模源码，效果非常好，可以用于三维点云数据的建模-Using MATLAB to achieve three-dimensional modeling source code, the effect is very good, can be used for modeling 3D point cloud data