搜索资源列表
AdRBF
- 点云处理中的自适应RBF算法，通过隐函数的拟合实现点云的重构和网格化-point cloud processing algorithm for the adaptive RBF, the implicit function fitting achieve Cloud Reconstruction and Grid
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.
AdRBF
- 点云处理中的自适应RBF算法，通过隐函数的拟合实现点云的重构和网格化-point cloud processing algorithm for the adaptive RBF, the implicit function fitting achieve Cloud Reconstruction and Grid
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.
Point_Curvature
- 估计一个离散点云中某个点的高斯曲率和离散曲率，算法是拟合一个二次曲面-Estimate a discrete point cloud to a point in the discrete Gaussian curvature and the curvature, the algorithm is a quadratic surface fitting
eigfitplane
- 三维激光扫描的点云，如果是在一个面上，用局部小邻域拟合出平面-3D laser scanning point cloud, if it is on one side, with small local neighborhood fitting plane
daviddoria-vtkBestFitPlane-cc29e58
- 最小二乘法进行平面拟合，输入点云数据，拟合成一个平面，采用VTK进行交互显示和实现-Plane fitting the least squares method, the input point cloud data, fit a plane using VTK interactive display and
VTK-Journal_709_2
- 最小二乘法进行平面拟合，输入点云数据，拟合成一个平面，采用VTK进行交互显示和实现-Plane fitting the least squares method, the input point cloud data, fit a plane using VTK interactive display and
finite
- 测量中点云六参数法求参数近似值矩阵，检核点的拟合高程异常，检合点的高程异常与其拟合值之差以及拟合精度。-The six-parameter method to calculate the parameter matrix approximation, the fitting of the check point elevation is abnormal, check the elevation of the chalazal exce
ku
- opengl点云拟合的小程序，包括控制点的判断以及网格曲面的显示。-opengl matching of point cloud。Including control point judgment and mesh surface display.
NNan
- 基于matlab平台实现点云数据边界提取以及拟合功能的小程序-Point cloud data boundary extraction fitting function procedure based on matlab platform
yasuo
- 分割点云，并通过局部拟合求取法向量，实现点云压缩-Split point cloud, and through local fitting strike normal vector of point cloud compression
ku
- opengl点云拟合的小程序，包括控制点的判断以及网格曲面的显示。-opengl matching of point cloud。Including control point judgment and mesh surface display.
IMLS
- 点云曲面建模，基于距离函数，运用移动最小二乘法，拟合曲面，提取等值面，用于散乱点云的快速三角网格构建-Point cloud surface modeling, based on the distance function, the use of moving least squares method, fitting surface, isosurface extraction for fast scattered point clo
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!)
最小二乘法直线拟合 用VC实现的3
- 最小二乘法拟合直线,通过点云或者三角网格(Least square fitting straight line by point cloud)
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)
surface CreaVures
- 通过移动最小二乘法拟合曲面，在此基础上计算点云曲率(Estimation of point cloud data curvature)
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)
激光雷达数据处理
- 文件中包含原始激光雷达数据，MATLAB读取.ubh文件、点云数据滤波、误差分析、模型验证、三维表面拟合的源代码，目前调试无误(The file contains raw lidar data. MATLAB reads the source code of.Ubh file, point cloud data filtering, error analysis, model validation and 3D surface fitt