搜索资源列表
sanjiaopoufen
- 在VS2008和opencv下，对2D/3D点(云)数据实现三角剖分，运算速度快，实时性好，计算精度高，并对三角剖分进行了优化，可以处理复杂点集的三角剖分，可以用于人脸识别的工作-In the VS2008 and opencv, the pairs of 2D/3D points (cloud) data to achieve triangulation, calculation speed, real-time performance is good, high precision, and
opengl
- 利用Opengl设定MFC的视图环境，三维显示三维数据，处理大量点云数据的显示旋转、平移、缩放等-very good
3D_copy_2
- 用C++编写的实现LIDAR点云的读取和滤波的程序代码。-Prepared using C++ implementation of LIDAR point cloud filtering of the read and program code.
11.0
- UG OPEN 创建点云投影面 选择点云边界点-UG OPEN create point cloud Plane Choice of boundary points
PoissonRecon
- poisson表面重建的代码，可以由点云数据生成曲面-poisson surface reconstruction of the code, you can generate surfaces from point cloud data
PLYtest
- 点云测试算法，怎样读取点云。进行不断测试。加速迭代-Point cloud testing algorithm, how to read the point cloud. Continuous testing. Speed up the iterative
MyMFCPoint
- VTK+MFC单文档下读取点云数据，并且实现三维重建。是一个很不错的学习VTK的示例程序。-VTK+ MFC single document to read point cloud data, and the realization of three-dimensional reconstruction. Is a very good example of procedural learning VTK
cloudmesh-0.1
- C++ 实现点云数据网格，网格数据的滤波处理！-Triangulation of point clouds and mesh filter in C++
Dataregistrationin3-Dscanningsystems
- 通过引入特征点和改进最近点迭代法, 提出了一种 在三维扫描系统中对三维点云数据进行配准的方法。该方法 通过对特征点的提取, 首先得到一组匹配点对, 然后运用 SVD 矩阵分解算法求出转换参数R 和T, 进而以此作为最 近点迭代法的初始值, 并对最近点的求法和迭代截止条件作 了改进, 得到了很好的配准效果。该文论述了该方法的基本 原理, 并通过不同视觉下物体三维测量点云数据配准的应用 实例证明了该方法的有效性。-A 3-D meas uring dat a r egis
CPoint3DCloud
- 很好的3D点云处理程序，适合初学者使用，其中有渲染，三角化等-Excellent 3D point cloud processing, suitable for beginners, including rendering, triangulation, etc.
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
MyNewReProject
- 点云读取，旋转，平移，缩放，统统是包含全视图的各种视图的显示-Point in put
cvery_345636323
- 点云数据计算曲率的算法实现 点 云数据计算曲率的算法实现-Point cloud computing algorithm curvature point cloud computing algorithm curvature curvature point cloud computing algorithm
points-clouds-
- matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI-matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M
register
- 点云的配准实验s-icp算法 实现两个点云数据的对准-A scale stretch method based on ICP for 3D data registration
3D-reconstruction-master
- 3d 重建 包括特征点的提取，匹配，以及三维点云的建立(3d reconstruction ,including feature detection and 3 D points cloud ,the change from 2D to 3D)
NurbsProj
- 开发的可将扫描获得点云数据 生成nurbs曲面的小程序(Development can be scanned point cloud data generated nurbs surfaces of the small programs)
MyCrustOpen
- 用delaunay三角剖分和网格填充对离散点云数据进行网格重建(Mesh reconstruction of discrete point cloud data using Delaunay triangulation and mesh filling)
源
- 在vs2013平台上实现的基于ndt3的点云配准源码(Ndt3 point cloud registration source)
MATLAB读取显示txt格式点云
- MATLAB读取txt格式的点云数据，好用，完美运行。(Matlab read TXT format point cloud data, easy to use, perfect operation.)