搜索资源列表
srcDownlodingsite
- 介绍用OpenGL实现点云处理的三维变换，我们可以通过API函数 CreateFile 获得设备句柄，再用API函数 DeviceIoControl 来实现对设备的访问获取点云的分割方法。-introduces OpenGL point cloud processing of 3D transformation, we can pass CreateFile API access to equipment handle, reuse API function DeviceIoControl ri
fcm
- 介绍几种模糊c均值聚类算法，利用该算法进行点云以及图像的分割。-fuzzy c means clustering
point-cloud-data-segmentation
- 本程序实现对.txt格式的点云数据的分割处理。本程序可以实现对点云数据的二等分、四等分和八等分等等。-This procedure is to achieve the segmentation of point cloud data processing. This program can be the bisection of the point cloud data, quartered and eight equal portions.
UB-segger-code.tar
- 3维图像（点云、立体视觉图像）分割算法，基于区域的分割方法-3d image （point cloud，stereo image）segmentation algorithm，region-based.
PCL_Doc
- PCL--Point Cloud Library，重点介绍点云库中的文件格式，文件显示，点云滤波，特征提取，特征描述，点云拼接，点云分割等-PCL- Point Cloud Library, highlights the point cloud library file format, the documents show, the point cloud filtering, feature extraction, characterization, point clouds, point c
dianyun2DSM
- 此程序是用来将机载激光雷达（LIDAR）点云数据转换成DSM深度影像，以便于后续进行阈值分割工作的。-This program is used for airborne laser radar (LIDAR) to transform point cloud data into the DSM depth image, in order to follow-up the work of the threshold segmentation.
lastools
- 可以进行Lidar点云数据LAS文件的分割，合并，滤波等处理-Lidar point cloud data LAS file split, merge, filtering and processing
Automatic-Building-Extraction.pdf
- 3D 点云建筑物分割代码 3D 点云建筑物分割代码-3D point cloud, buildign segmentation3D point cloud, buildign segmentation3D point cloud, buildign segmentation
yasuo
- 分割点云，并通过局部拟合求取法向量，实现点云压缩-Split point cloud, and through local fitting strike normal vector of point cloud compression
filter.dr
- 【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之角分割与滤波方法-[64 line laser radar sensor of the unmanned] angle velodyne hdl64es2 64 lines LIDAR point cloud data processing method of segmentation and filtering
PCL-1.6-sources
- PCL（Point Cloud Library）是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库，它实现了大量点云相关的通用算法和高效数据结构，涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。这里是PCL1.6的例子源码-PCL (Point Cloud Library) is on the basis of absorbing the predecessors Point Cloud related research to build a
pointCloudeSkeleton2-build-desktop
- 利用qt分割点云,基于qt框架，自己写的代码-point cloud section
1-planar_segmentation
- 基于RANSAC算法的3D点云平面分割程序，最终可提取出平面方程。-a program used to planar segment 3D point cloud based on RANSAC. The plane parameters can be output and the rest of the point cloud can be saved as PCD files.
scene_labelling_rgbd-groovy
- 基于PCL的图像识别处理,CL（Point Cloud Library）是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库，它实现了大量点云相关的通用算法和高效数据结构，涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。支持多种操作系统平台，可在Windows、Linux、Android、Mac OS X、部分嵌入式实时系统上运行。-Image recognition based on PCL
Pcl_object_recognition
- 基于PCL库的图像实时识别，PCL（Point Cloud Library）是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库，它实现了大量点云相关的通用算法和高效数据结构，涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。支持多种操作系统平台，可在Windows、Linux、Android、Mac OS X、部分嵌入式实时系统上运行-Image library based on real-time identification PCL, PCL
heightmap_plane_segmentation
- 实现对Velodyne获取的点云数据进行平面分割-This source code is the implement of the plane segmentation in the point clouds obtained by Velodyne
grid
- 该程序对从Velodyne获取的点云数据建立栅格地图实现地面分割。-The procedure is implement of building occupation grid map to segment the ground using the point clouds obatins Velodyne
PCLCode
- PCL课本全章源码的，包含I/O,kd-tree,八叉树，可视化，滤波，深度图像，关键点。采样一致性算法，点云特征描述与提取，点云配准，点云分割，点云曲面重建-the code of book“Point Cloud Library”
source
- 实现三维空间散乱点云的滤波，平面分割和圆柱面的分割(To achieve three-dimensional space scattered point cloud filtering, plane segmentation and cylindrical surface segmentation)
cluster_extraction
- 利用pcl对点云数据进行聚类分割，建立索引得到分割后的各个物体构建(Clustering and segmentation of point cloud data using PCL)