搜索资源列表
源
- 在vs2013平台上实现的基于ndt3的点云配准源码(Ndt3 point cloud registration source)
CloudCompare_v2.6.3.beta_setup_x64
- 用于点云数据的浏览，编辑以及删除，以及对于显示颜色及其编辑状态的改变(Browsing, editing and deleting point cloud data, as well as changes to the display color and its editing state)
bunny.ply
- 兔子的点云数据，给没有点云的同学下载学习使用。(Bunny point cloud data, to point cloud classmates to download learning to use.)
凳子点云数据
- 不同三维激光扫描角度下的凳子点云数据配准数据！用于icp算法配准的学习与参考(Different three-dimensional laser scanning angle of the stool point cloud data registration data! Learning and reference for ICP algorithm registration)
test_Part2
- 实现对一对rgb图像和深度图像的点云获取(Realization of point cloud acquisition for a pair of RGB images and deep images)
source
- 基于PCL利用贪婪投影算法实现一个点云数据的网格化(Matching and triangulation of point cloud data by using PCL point cloud Library)
narf_pfh_sac_Registration
- 基于特征的点云全局配准算法： NARF特征点提取+PFH描述子计算+SAC-IA位姿变换计算。(Feature based global registration algorithm for point cloud: The NARF feature points are extracted + PFH descr iptors, and the calculation of + SAC-IA position and attitude transformation is calculate
OpenGL-3D框选
- ＯｐｅｎＧＬ环境下读入３Ｄ点云，任意角度下鼠标对点云进行框选。(In the OpenGL environment, read the 3D point cloud, and at any angle the mouse can box the point cloud.)
registration
- 点云配准源码，包括ICP NDT 等(Point cloud registration source code)
PointCloudScanner
- 在vs中正确配置好pcl和opencv，能够将通过kinect2获得的rgb图像和深度信息合成一张点云ply或者pcd文件，可以通过pcl查看。(Correctly configuring PCL and opencv in VS, we can synthesize a point cloud ply or PCD file from RGB image and depth information obtained by kinect2, which can be viewed through
鼠标矩形选择点
- 具备点云数据的显示，在显示界面通过鼠标选择需要点并保存。(With the display of point cloud data, the display interface needs to be selected and saved through mouse selection.)
LS
- 传统的点云配准方法，与最小二乘坐标转换相似，基于特征点的刚性变换配准方法(point cloud registration)
Canupo
- C++编码，基于线性判别分析（LDA）和支持向量机（SVM）的多尺度维度特征点云分类算法，通过机器学习方法精确分类。效果可达95%以上，本文件夹内含有详细中文教程。
dragon.ply
- 可以用MATLAB和PCL打开的PLY格式的点云数据。(Dragon's PLY format point cloud data.)
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.)
SFB_matlab1.0.tar
- 3D点云重建 3D点云重建Berkeley SfM is a structure from motion library created to explore new solutions to challenging 3D reconstruction problems (large scale, indoors, incremental, homogeneously textured, etc.). It is developed by(Structrue From Motion for
surface CreaVures
- 通过移动最小二乘法拟合曲面，在此基础上计算点云曲率(Estimation of point cloud data curvature)
Point Cloud Registion
- 给定两组点云，在matlab下进行点云配准(Given two sets of point clouds, point cloud registration is carried out under Matlab)
stl文件在matlab中的读取
- 在matlab中读取点云数据stl文件并在界面显示(Read the point cloud data STL file in MATLAB and display it on the interface.)