搜索资源列表
retdh
- 用vc实现点云文件的加载和显示后，（dxf格式） 如何实现其中一些点的选取和删除的功能， 有没有类似的原代码发我一个，谢谢！-with vc achieve Cloud document loading and after the show, (dxf format) how to achieve some point select and delete functions, there are similar to the original code, I made a, th
DetectingHolesinPointSetSurface
- 该文章介绍了在点云形式下的数据的孔和洞的检测算法。-The article describes a cloud in the form of data and the hole-hole detection algorithm.
dianyunchonggou
- 一片很好的论文，介绍了如何根据点云惊醒重构-a good thesis on how cloud awakened Reconstruction
IGS
- 本程序适用于将离散点云数据（.txt），转换为IGS格式-this procedure will be applied to discrete point cloud data (. Txt), format conversion of IGS
Y999843
- 本文 研 究 了反求流程中的点云三角化算法及其实现.
DSMOFLIDAR
- 利用点云生成DSM的文章，介绍了几种方法，大家可以参考使用。
MyViewDlg
- 基于opengl的3维显示系统，采用自定义的点云格式.png 采用自定义的面格式.mesh
cloudy
- 空间点云的实现，用于三维仿真，实现简单，渲染速度快
770752IGS
- 此为利用VC++编写的源代码，可以实现不同数据格式之间的转换，能够将TXT格式的点云数据转换为IGS格式
ICP配准C语言源码
- 使用ICP算法对点云进行配准，使用C++语言书写
高维数据空间划分树
- 用matlab编写的k-dtree，加快搜索，在点云拼合中应用广泛。-Matlab prepared with k-dtree, to speed up the search, put together in the point cloud in a wide range of applications.
CPoint3DCloud
- 利用VC++并结合OPENGL实现三维点云的显示并可以用鼠标转动从各个角度观察-To utilize VC++ combined OPENGL 3D point cloud display can be rotated with the mouse from all angles
data
- 三维激光点云数据，对构网时需要大量数据的人应该会很有用-Three-dimensional laser point cloud data, network configuration requires large amounts of data should be useful for people who
icpCpp
- Iterative Closest points算法，被广泛应用在3d领域，这里实现了将两团点云align到一起的功能-Iterative Closest points algorithm, has been widely used in the field of 3d, where the implementation of the two groups to align with the point cloud of the function
《校审系列》之《增强云线》[2014-08-06]
- 快捷命令：SMTZ 说明调整可以调整四种模式（句点、顿号、逗点、逗号）分条的条文；(Quick command: SMTZ That adjustment can adjust four modes (dot, comma, comma, comma) sub clause;)
harris3D
- 该工程基于pcl库，能够实现点云中harris3D角点的检测，(This project is based on PCL library, and can realize the detection of harris3D corner in point cloud,)
FPFH-SAC-ICP
- 特征点提取，法向量估计，fpfh描叙特征点，SAC-IA粗配准。ICP精确配准(Feature point extraction, normal vector estimation, FPFH descr iption of feature points, sac-ia rough registration. Accurate registration of ICP)