搜索资源列表
fetaure_extraction_lidar
- With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the important issues in the study on LIDAR data process
linint.tar
- linear interpolation of height for 3-D points within a cloud (Delaunnay s method)
BallFretting190809
- This tool is a simplification of the ballpivoting algorithm. It imagines a bella eating a delaunay traignulation in order to extract a manifold surface. It requires a single parameter: radius of the fretting ball. Ball Fretting Given a unif
ModelNormal
- 估计点云的法线，选择点周围的面皮，面片法线相加，求均值-Estimated cloud normals, select points around the dough, adding the patch normal, averaging
Tessellation
- “布算法”和曲面细分算法的实现；模拟一块布覆盖在点云上方形成的细致曲面-An application of fabric algorithm and tessellation, to estimate the curve of a piece of fabric which falls down on a points cloud
KDTree
- kdTree的构建，针对海量点云数据结构的组织-this is file commit to construct a kdtree about large number of cloud points
Triangular-Reconstruction
- 基于增量扩散法的思想，提出并实现了一个散乱点云的三角网格重构算法-Based on region-growing idea, a triangular mesh reconstruction algorithm for points cloud is presented
Archivos-Matlab
- M files for Pattern recognition with cloud points in 2D
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.
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
PCLDSP
- 对稠密点云或者Mesh模型进行降采样，以获得更加具有代表性的模型来减少点的数量和面的个数。(The dense point cloud or Mesh model is sampled down to obtain a more representative model to reduce the number of points and the number of faces.)