搜索资源列表
.las文件读取
- 用C# 读取激光雷达扫描标准文件格式.las 因为las文件是二进制格式的，所以要读取文件必须知道文件数据格式。本程序通过读取点云las文件，获得点云坐标。
3dtribodymodel
- 人体点云的简化，并实现人体模型的三角化。-Human point cloud simplification, and the realization of the triangular model of the human body.
3dpointmedianfilter
- 通过vc++实现三维人体点云的中值滤波程序，-Vc++ to achieve through the body three-dimensional point cloud of the median filtering process,
PointCloud_MatLab
- 基于MatLab和VC编写程序，实现点云数据的快速建模，三角网格的绘制。-MatLab, and VC-based programming to achieve fast data point cloud modeling, triangular mesh rendering.
bodymodel
- 基于OpenGL的三维人体点云模型的显示。-OpenGL-based three-dimensional point cloud model of the human body display.
File_Point2Txt
- 将文件转换为.txt格式并保存,主要用来处理点云数据文件-Convert the file to. Txt format and save the file.
MeshCut
- 国外源码，经典的点云简化，可以对三维模型进行简化处理-Foreign source, the classic point cloud simplification, three-dimensional model can be simplified
点云数据的读取与显示VC++
- 能够读取txt格式的额点云数据并且显示以及相关的鼠标操作(Can read the TXT format of the point cloud data, and display and related mouse operations)
点云库pcl中的pcd文件
- PCL点云库中的pcd数据文件，对三维建模很有用处(PCD data file in PCL point cloud library is very useful for 3D modeling)
海量点云数据轮廓特征线的快速生成算法_程效军
- 点云切片算法，海量点云中切片及其算法，速度快，精度高，非常棒(Point cloud slicing algorithm, massive cloud point slice and its algorithm, fast, high precision, great)
三维点云显示
- 三维电云整合,点云显示，点云强化，三维点云的特征保持(3D cloud integration, point cloud display, point cloud enhancement, and 3D point cloud feature retention)
点云数据组织
- 实现读取xyz格式点云文件，且对点云进行格网化，便于后续数据处理(realize the reading of xyz file, and put he points into grid for later data process)
用VS+Opencv从双目立体视差图中重建三维点云
- 用VS+Opencv从双目立体视差图中重建三维点云(Using VS+Opencv to reconstruct 3D point clouds from binocular stereoscopic parallax map.)
matlab点云缩减包围盒法
- 该算法主要针对点云的缩减，采用传统的包围盒算法，编程平台为matlab(The algorithm is mainly aimed at reducing the point cloud, using the traditional bounding box algorithm, the programming platform is matlab.)
点云的三维重建
- 常见点云数据网格重建 matlab语言程序(Common point cloud data grid reconstruction)
lidar点云边缘提取
- 雷达点云边缘提取，采用C/C++编程实现(feature extraction in point cloud there is a file called readme,you can see it to help you understand)
k-近邻点估计点云法向量
- 利用matlab实现k-近邻点估计点云法向量求解，(Matlab is used to solve the normal vector of k-nearest neighbor point cloud.)
基于法向量的点云数据精简算法仿真
- 点云数据精简程序简单易懂！matlab算法——计算三维散乱点云的曲率，包括主曲率，高斯曲率和平均曲率(Reduced algorithm of laser measurement data for geometric parameters of ring forgings based on Artificial Immune Algorithm.)
点云数据
- 部分公开点云数据集，txt格式，用于配准研究(Partial open point cloud data set, TXT format, for registration research)
点云进行matlab三维重建
- 使用matlab,基于点云进行三维物体重建，里面包括一些图片(3D reconstruction of point cloud)