搜索资源列表
pointnet-master
- 用pointnet算法进行点云分割，识别(Point cloud segmentation and recognition using pointnet algorithm)
PCShow
- 三维点云的伪彩色显示示例。自带5片点云用于测试。可平移、旋转、缩放视图；可单色、伪彩色显示点云。(An example of pseudo-color display of three-dimensional point clouds. It has five point clouds for testing. It can translate, rotate and zoom views; it can display point clouds in monochrome and pseudo
hole_fix_trouble
- 本程序用于修补点云中孔洞，本代码使用了深度搜索，搜索孔洞边缘，并进行修补(This program is used to repair hole in point cloud)
BuildOctree
- 为点云数据建立，八叉树结构。可用于点云配准、识别、重建。(Building octree structure for point cloud data)
Point Cloud Plane Segmentation
- 可以切割点云得到截面 并获取平面方程的参数(It is possible to cut point clouds to obtain cross sections and parameters of plane equations.)
border提取边界
- 边界识别算法，可识别点云的边界和特征边缘(Boundary Recognition Algorithms to Recognize the Boundary and Characteristic Edge of Point Cloud)
dianyunMATLAB
- 使用MATLAB 根据点云数据文件生成等高线图(Generating contour map from point cloud file)
模糊Ｃ均值聚类
- 该程序可以实现快速的点云的模糊C均值聚类，并且可以利用第二个命令对聚类后的点云进行自动提取。(The program can realize fast clustering of point clouds based on fuzzy C-means, and automatically extract the clustered point clouds by using the second command.)
dbscan
- 利用该程序可以实现大数据下的三维点云及二维数据的密度聚类，并对聚类后的结果进行准确提取(Using this program, the density clustering of three-dimensional point clouds and two-dimensional data can be realized, and the clustered results can be accurately extracted.)
estimate_normal
- 计算点云表面的法线向量(computes the vector normal of surface of the point cloud)
PCL体素栅格滤波器
- 基于PCL的点云滤波中的体素栅格滤波算法，将点云数量过于庞杂的点云文件进行简化但保留其特征，减少后续处理的计算量(PCL VoxelGrid filter)
点云库PCL学习教程（pdf版本）
- 详细介绍了PCL开发库，是一个入手的好资料(Introduced the PCLS development library, is one of the good information)
ascread
- matlab中读取asc点云文件，形成点云数据(Read ASC point cloud file in MATLAB to form point cloud data)
点云Harris3D检测
- 基于PCL的C++源码，用于检测点云Harris3D关键点，参数均在命令行由实验者给出，输出Harris3D点云和检测点在原始点云的索引向量。
基于点云数据构建dem
- 针对.las或者.txt的点云数据进行处理，按照最小高程值构建地面点格网，最终完成DEM的构建。
5qt_pcl
- PCL点云显示， QT点云显示，PCL点云库应用案例(PCL QT Visualization)
深度图生成点云
- 本代码主要用于实现深度图生成点云pcd并进行保存。(This code is mainly used to generate point cloud PCD from depth map)
三维点云分割
- 通过java实现对三维点云进行分割，包括三种方法：基于法向量的、基于区域的、基于聚类的
多点云逐步拼接代码
- 多点云逐步拼接代码，多幅点云拼接，具体步骤注释很清楚
PointCloudPly-meshlab
- unity利用C#识别读取meshlab生成的.ply点云数据，并在unity展示出来(Unity USES C# recognition to read the. Ply point cloud data generated by meshlab and display it in unity)