搜索资源列表
CPoint3DCloud.rar
- 读取LIDAR的点云数据，并且可以显示出来。,Read the LIDAR point cloud data, and can be displayed.
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
hadoopGIS
- hadoop是众所周知的云计算平台，hadoopGIS是基于hadoop进行云GIS试验的成果，实现在云环境下的数据存储、读取等功能-hadoop is well known cloud computing platform, hadoopGIS for cloud hadoop GIS based on test results, achieved under the cloud of data storage, reading and other functions
data
- 三维激光点云数据，对构网时需要大量数据的人应该会很有用-Three-dimensional laser point cloud data, network configuration requires large amounts of data should be useful for people who
3D-construct_-point-cloud-in-Matlab
- 此程序主要是用Matlab进行点云数据的三维建模，对用Matlab进行三维重建有实用价值。-The procedure is to use Matlab for modeling three-dimensional point cloud data on the three-dimensional reconstruction with Matlab has practical value.
Cloud
- vc++下，通过纹理贴图实现动态的云彩， 云彩在一个有限的平面上，用OpenGL实现，该程序可以自动生成纹理数据。-vc++ through texture mapping implementation of dynamic clouds, clouds in a limited plane, using OpenGL implementation, the program can automatically generate texture data.
triangle++.tar
- this a visual c + + code for point cloud triangulation, i tried it and it works really in a very good way -this is a visual c++ code for point cloud triangulation, i tried it and it works really in a very good way
pointcloudpeizhun
- 根据标靶的坐标（控制点），运用高斯-约当法进行矩阵的求逆和转换，进行三维点云数据的配准，输入数据文件在压缩包中有原例，请参考！-In accordance with the target coordinates (control points), the use of Gauss- Jordan method of matrix inversion and transformation, three-dimensional point cloud data registration, enter
SpectralSurfaceReconstructionfromNoisyPointClouds.
- We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each tetrahedron is inside or out
pinjie2procedure0
- 用来实现点云数据的配准和融合，是本人自己写的代码，希望和大家多多交流-Be used to achieve the point cloud data registration and fusion, is the code I wrote it myself, hope and encourage more exchanges between people
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
fetaure_extraction_lidar
- With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the important issues in the study on LIDAR data process
read_point_clouds1
- 利用Visual C++读取点云数据用于曲面的三维重建-Visual C++ to read the use of point cloud data for three-dimensional surface reconstruction
read-point-cloud
- 本程序轻松快捷的实现了点云数据的读取和显示，适用于PTX和TXT格式的点云数据读取。-This program quickly and easily implement a point cloud data read and displayed for PTX and TXT format to read the point cloud data.
cloud-data
- 点云数据读取，3D/2D，供学习参考使用-cloud data read
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.
-cloud-data-Pro
- 基于VC++ 和OpenGL 的点云数据三维读取与显示经过测试可执行-Read and display of three-dimensional point cloud data based on VC++ and OpenGL executable tested
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
Ensuring Data Storage Security in Cloud Computing
- Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application sof
Global-cloud-data-security-report
- 全球云数据安全报告-2015Q1 From internet-GLOBAL CLOUD DATA SECURITY REPORT Q1 2015: THE AUTHORITY ON HOW TO PROTECT DATA IN THE CLOUD From internet