搜索资源列表
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
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,
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.
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
callICP
- 使用vc++实现ICP配准算法，编译成动态链接库，通过调用CallICP函数可以实现两组点云之间的配准-Using vc++ to achieve ICP registration algorithm, compiled into a dynamic link library, by calling CallICP function can be achieved between the two sets of point cloud registration
point
- 用于点云切片功能的实现，非常好用，可以计算密度、厚度、等内容-For point cloud slicing feature to achieve very easy to use, you can calculate the density, thickness, etc.
CloudOpenGL---
- 实现三维点云数据的导入和显示，并可以进行交互式操作-Import and display of three-dimensional point cloud data, and interactive
Reconstruct_3D
- 基于MFC的opengl显示点云的程序，并为三维重构做好基础！有助于对三维曲面重构有了解-Based on the the MFC opengl point cloud of the program and prepare the ground for the three-dimensional reconstruction!
Viewer
- PCL(Point CLoud Lib)的显示，读取PCD数据并显示-PCL（Point CLoud Lib）display,read PCD files and display
K-Nearest-Points
- 实现散乱点云的K邻域搜索，对于从事逆向工程方向研究有较大的帮助-Of scattered point cloud the K neighborhood search, larger studies engaged in reverse engineering direction
testpointorder
- 点云数据当中点的绘制顺序代码。。3w多个点的点云数据。。程序可以根据顺序。。把每个点一个个的绘制出来。。。。。对研究点云点的顺序有较大的借鉴意义。。opengl的代码。。。vs2010打开-Point cloud data which point the drawing order code. . 3w multiple point cloud data. . The program can be based on the order. . Each point one drawn. . . .
ICPalgorithm
- 用三围点云数据实现快速匹配程序 在vc2008下实现-Point cloud data with measurements for fast matching program under vc2008
vtk-point-cloud-rendering
- vtk显示点云，和点云三角网格化。 源代码已可运行，不过vtk的环境需要你自己配置-vtk display point clouds, and point cloud triangular grid. Source code has been run, but vtk environment requires you to configure
pointCloudeSkeleton2-build-desktop
- 利用qt分割点云,基于qt框架，自己写的代码-point cloud section
test
- 基于VTK实现点云的读取和可视化操作,主要用于空间点云的预处理-Based on VTK implementation point cloud read and visualization operation, mainly used for the pretreatment of the spatial point cloud
4pcs_1.4.tar
- 基于多尺度特征提取的3D点云匹配的4PCS算法的实现代码-Multiscale 3D point cloud matching algorithm
SimpleReconstruction
- Kinect和OpenCV实现简单的点云三角化，用最小二乘法计算法线，并实时显示获得的模型。建立在OpenFrameworks框架上，编译需要安装OpenFrameworks并放到myApps目录里，还需要Kinect SDK 1.7和OpenCV 2.4.3。-Kinect and OpenCV to achieve a simple point cloud triangulation, using the least square method to calculate the normal
source
- 如何使用正态分布对点云进行配准，使用标准最优化技术来确定两点云的最优匹配。-How to use normal distribution to point cloud registration, using standard optimization techniques to determine the optimal matching of two points cloud
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.)