搜索资源列表
anglcau
- 在点云处理中,我们通常需要知道两个面的夹角,这个小程序通过最小二乘拟合。求的两个面的夹角,供参考。-in point cloud processing, we often need to know the angle between two faces, the small least-squares fitting procedure. For the angle between the two face for reference.
SurfaceReconstructionfromScatteredPoints
- 根据三维点云散重建表面! 是表面重建非常好的算法!-Surface Reconstruction from Scattered Points
gridfit
- 此程序主要是用Matlab进行点云数据的三维建模,对用Matlab进行三维重建有实用价值。 -The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.
filter
- 能够实现对三维点云数据的中值滤波、均值滤波、以及最小二乘滤波-Able to achieve a three-dimensional point cloud data, median filtering, mean filtering, and least squares filtering
曲面拟合01
- 最小二乘MATLAB程序,适合用于三维点云的最小二乘拟合。功能很强大!(Least squares MATLAB procedures, suitable for three-dimensional point cloud least square fitting. Powerful!)
C++ 三维点云的圆柱面拟合
- 通过已有的点云数据或者三角网格数据最小二乘拟合圆柱面(Least square fitting cylinder by point cloud or tri-mesh)
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)