搜索资源列表
LIDAR-point-cloud-data-p-and-a
- LIDAR点云数据处理与应用 -分析 L I D A R点云数据的获取原理及分类 ， 探讨 Mi c r o s t a t i o n 的 t e r r a 模块 数据及 L I D A R点云数据 的分类处理 方法。- Get principle and classification, classification method to e
random_delete
- 一种点云数据噪声点的随机滤波处理方法_董明晓 程序实现-A Random Filter Algorithm for Reducing Noise Error of Point Cloud Data
ICPdianyunpipei
- 对两组点云数据进行ICP匹配，最近点迭代法，进行点云匹配，含有两组点云数据-Two sets of point cloud data for ICP match
Opengl-dianyunmoxing
- 对点云数据进行了显示，还包括旋转等操作，采用VS2010编程，结合opengl，-Point cloud data were displayed, including rotating, etc., using VS2010 programming, combined with opengl,
RANSAC
- 随机采样一致性算法，能够从大量点云数据里提取出最优平面，而且速度较快。-RANSAC algorithm, can extract the optimal plane a large number of point cloud data, and the speed is fast.
ErrorDTECTING
- 对点云数据进行粗差探测，主要用于对点云进行预处理，提高数据质量-To gross error detection of point cloud data, it is mainly used for preprocessing of point cloud, improve the quality of data
matlab
- 使用matlab实现三维建模源码，效果非常好，可以用于三维点云数据的建模-Three-dimensional modeling using MATLAB
dianyunsanjiaohua
- 只要给定人脸头部三维数据，可以生成人脸点云数据模型。已经通过调试且需要配置opencv。-As long as the head of a given face three-dimensional data, you can produce human face point cloud data model. It has passed debugging and configure opencv.
PoissonRecon
- 点云数据生成三维模型所采用的经典算法 泊松表面重建-Classical algorithm to generate a three-dimensional point cloud model used Poisson surface reconstruction
LASreadAll
- las文件是激光点云数据文件，此程序用于通过matlab、读取las文件-read las file ，matlab
MyKD_Tree
- KD树算法，能够实现对点云数据进行压缩，非常简单，适用于初学者-KD tree algorithm, can achieve the point cloud data compression, very simple, suitable for beginners
delete_repeat_data
- 删除文件中重复的数据,。点云数据的采集存在密集性，有些时候解码会重复的读取数据-Delete duplicate data in a file,. Point cloud data collection is intensive, and some time decoding will be repeated reading data
boundary-extraction
- 基于点云数据的模型边界提取程序，包含测试数据，从其他地方下载转发，完全可以运行。-Based on point cloud data model boundary extraction procedure, contains the test data, download forwarded other places, can run.
gridtrimesh
- 通过MATLAB对点云数据生成三维网格,并将三维网格做四边形网格细化处理。其中还有专门生成三维网格点云的MATLAB程序- This example shows how a triangular mesh can be resampled on a meshgrid -generated square grid. We illustrate the usage of both functions gridtrimesh and mxgridtrimesh . These two
trismooth
- 实现MATLAB对茶壶采集的的点云数据网格生成，并细化-MATLAB to achieve the collection of the teapot point cloud data grid generation, and refinement
pointsclouds_smooth
- 实现MATLAB对茶壶采集的的点云数据网格生成，并细化- MATLAB to achieve the collection of the teapot point cloud data grid generation, and refinement
example
- 用于点云数据的简化，选出最小包围方格中的重心以达到数据缩减-The minimum bounding box method, used to process point cloud data, solving the point cloud data in virtual grid in the center of gravity, can be used for data reduction
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
kalman_multitracker
- 该源码利用kalman滤波对点云数据进行处理实现多目标跟踪的算法-This source code is implement of multiple objects tracking using kalman filter
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