搜索资源列表
kincet+pcl获取点云
- 利用kinect和PCL点云库，将深度图像转换生成三维点云(Kinect and PCL point cloud libraries are used to convert depth images to generate 3D point clouds)
Txt2Las
- 用于转换点云数据格式，txt格式转换为常见的las格式，方便处理(Used to convert point cloud data format, TXT format into a common Las format, easy to handle)
find_feature_contour
- 输入3D点云，并进行傅里叶变换以及获取其轮廓特征。
ICP
- 点云配准过程，就是求一个两个点云之间的旋转平移矩阵（rigid transform or euclidean transform 刚性变换或欧式变换），将源点云(source cloud)变换到目标点云(target cloud)相同的坐标系下。(Matching of two sets oPoint cloud registration process, is to get a two point cloud between the translation and rotation matri
基于VTk的点云显示
- 基于VTk的点云显示，构网（Delaunay Tin，包含二维，三维，及TEN）。附有详细的代码注释，也有实例数据。-(VTk based point cloud display (Delaunay, Tin, including 2D, 3D, and TEN). With detailed code notes, there are examples of data. -)
moveXYZ
- 能够实现点云的平移，旋转缩放，基于PCL点云库，内有说明文档，实现快速点云操作(To achieve the translation of point cloud, rotate, zoom)
激光雷达
- 在Linux平台下，使用QT5.7.0.实现八线激光雷达点云数据的聚类。数据采集于真实的场景。采用蒙特卡洛和ABD聚类算法实现聚类。(In Linux platform, we use QT5.7.0. to realize the clustering of point cloud data of eight line lidar. Data is collected in real scenes. Monte Carlo and ABD clustering algorithms are u
point_cloud_reduction
- 自己开发的一种点云降噪方法，可以去除物体主体之外的部分的点云数据（物体点云数据为三维扫描仪获得）(A point cloud noise reduction method developed by ourselves can remove part of the cloud data outside the main body of the object (object cloud data is obtained for a three-dimensional scanner))
point_cloud_compression.tar
- 通过ros话题传输point cloud点云数据，然后在解析出来。(Transmitting point cloud data through ROS topic)
C++ 三维点云的圆柱面拟合
- 通过已有的点云数据或者三角网格数据最小二乘拟合圆柱面(Least square fitting cylinder by point cloud or tri-mesh)
20171017084327
- 一份带反射强度的会议室点云文件，可以用来初学者使用。(A conference room cloud file with reflection intensity, which can be used for beginners.)
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)
point3d
- 直接运行TestMyCrust.m, 读取点云txt,或者直接加载mat文件 运行需要几分钟，耐心等待 完成后运行trianglenormal.m, 生成三角面片的法向量 运行完成得到tri.txt（组成三角面片的点的编号信息）,trinormal.txt(每个三角面片法向量数值)，diandian.txt(每个点云信息) 然后将三个数据当做stl_gen.exe的输入文件，得到trisuface.stl文件(run TestMyCrust.m, read point cloud fil
MyCrust090209
- 对点云数据进行三角剖分，重新构建模型，里面有椅子，犀牛，马，大象等动物的点云数据，通过加载点云数据并且运行TestMyCrust文件，绘制出点云数据和网格。(Triangulation of point cloud data and reconstruct the model)
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)
point_cloud
- txt格式点云数据的读取，显示，分层设色，等高线绘制，及测试数据(Read the TXT format, the display of point cloud data, hypsometric contour.)
分割代码
- 本人最近正在研究三维点云库pcl，可以说三位点云图像处理未来的应用前景非常广阔，因此愿意与各位感兴趣的朋友一起探讨.此程序是本人最近最近感兴趣的三维点云分割程序，通过区域增长算法将三维点云实现较好分割。源程序来自POINT CLOUD LIBRARY外文官方网站，运行此程序需提前配置好pcl点云库。(I was recently on the 3D point cloud library PCL, it can be said that the three sites of cloud imag
srcFPFH
- 通过FPFH特征将点云进行配准，点云为部分重合的点云，并且有噪声(registration with FPFH)
pcl+kinect
- QT5.4 读取与显示点云，个人感觉对点处理方向很有帮助(QT5.4 read and display of point cloud, personal feeling of processing is very helpful)
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)