搜索资源列表
基于Susan算子和光流法的三维点云模型重建
- 基于Susan算子和光流法的三维点云模型重建
curve
- 本人写的三维点云精简程序，用于激光三维扫描数据的弦高-角度法的实现。附带一些激光扫描仪的点云数据-I write three-dimensional point cloud to streamline the procedures for the three-dimensional laser scan data of the chord height- angle of law implementation. With a number of laser scanner point cloud
powercrust
- powercrust 三维点云曲面重构算法，可直接运行！-powercrust surface reconstruction from point clouds
CPoint3DCloud
- 三维点云的简单处理程序，可实现打开，翻转，放大缩小等功能-A simple three-dimensional point cloud processing procedures, can be open, flip, zoom and other functions
tetgen1.4.3
- 外国人写关于计算机图形学的源码，对三维点云进行构网，程序是经优化后得到完善结果-Foreigner on the source computer graphics, three-dimensional point cloud of the network structure, the program is to improve the results obtained by the optimization
_data.tar
- 实现三维点云条件欧式聚类，附带点云数据和CMakelists文件(Three dimensional cloud conditions to achieve the European clustering, with cloud data and CMakelists files)
voxel_grid-code
- 三维点云体素滤波代码，代码中包含.pcd格式的点云数据(Point cloud voxel_grid filtering)
点云数据的读取与显示VC++
- 董，读取和显示点云数据，显示和处理点云构成的物体，获取相关参数。(Read and display the point cloud data, display and process the objects formed by the point cloud, and obtain the relevant parameters.)
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)
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.)
hand.ply
- 常用的三维点云数据，手的三维数据可以用MATLAB和PCL打开。(Common 3D point cloud data)
denoise
- 可以在MATLAB中对三维点云数据进行中值滤波。(The median filtering of 3D point cloud data can be carried out.)
斯坦福兔子点云数据-matlab读取并显示
- 三维点云重构，兔子模型，用于学习。交流学习，禁止商用。(Three dimensional point cloud reconstruction, rabbit model, for learning.Exchange study and prohibit business.)
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
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.)
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.)
常用的三维点云数据(已经整理格式)
- 常见的点云数据，已经整理好格式可以直接使用(Common point cloud data)
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
点云数据读取与操作
- 这是基于matlab平台实现的三维点云数据读取与显示，以及相应的操作。非常适合初学者学习，强烈推荐(This is based on the MATLAB platform to achieve the three-dimensional point cloud data reading and display, as well as the corresponding operation. Very suitable for beginners, highly recommended)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi