搜索资源列表
DrawTree_Ctl
- 实现云模型与分形的树模拟，用MATLAB和VB混合编程实现-achieve cloud model and fractal tree simulation with MATLAB and VB Programming
高维数据空间划分树
- 用matlab编写的k-dtree，加快搜索，在点云拼合中应用广泛。-Matlab prepared with k-dtree, to speed up the search, put together in the point cloud in a wide range of applications.
cloud
- 正向云发生器,通过matlab编程的代码-forward cloud generator
SPIHT-algorithm
- 天在维普下载了一篇SPIHT算法改进的论文，（耿兴云，《基于改进SPIHT的静态图像编码》，电脑知识与技术：学术交流-2007年5期），我根据该文提出的改进算法，用Matlab来实现，却发现改进算法的程序运行速度比原算法还要慢，希望有兴趣的朋友进来看看，评论一下原因。-Days in the VIP downloaded a SPIHT algorithm to improve the paper, (Gengxing Yun, " based on improved SPIHT sti
kalmanwuchapeizhun
- 本matlab代码是自编的用于董云龙、何友、王国宏的《一种新的雷达组网实时误差配准》，用卡尔曼滤波的方法进行配准。-The matlab code is self for DONG Yun-long, He You, Wang Guohong of " a new real-time error registration Radar Network" , using the method of Kalman filter registration.
half_normal_cloud
- 在MATLAB 中实现半正态云，写的很详细，有参考和学习价值-In MATLAB to achieve half the normal cloud, written in great detail, with reference to and learning the value of
two_shape_tree
- 在MATLAB 用云模型实现二叉分形树，写的很详细，有参考和学习价值-Cloud model implementation in MATLAB using the binary fractal tree, write a very detailed, with reference to and learning the value of
Gauss-and-Mean-Curvature
- 用matlab开发的计算给定曲面点云的，高斯和平均曲率图-Matlab calculation developed by a given surface point cloud, the Gaussian and mean curvature map
dianyunMATLAB
- 使用MATLAB 根据点云数据文件生成等高线图(Generating contour map from point cloud file)
SG滤波_Matlab
- 一般用来做时间序列的平滑，比如MODIS的NDVI EVI等植被指数的平滑，消除 云 缺失值等噪声，提升数据质量，对于时间序列的研究是一种重要的处理方法。
自己敲的混沌加密
- 简单的混沌加密，在网易云课堂听课，做的笔记，简单的几个混沌加密，数字水印混沌加密，混沌加密生成二值图像、灰度图像、RGB图像(Simple chaos encryption, in the netease cloud class, take notes, a few simple chaos encryption, digital watermark chaos encryption, chaos encryption generated binary image, gray image, RG
ascread
- matlab中读取asc点云文件，形成点云数据(Read ASC point cloud file in MATLAB to form point cloud data)
激光雷达数据处理
- 文件中包含原始激光雷达数据，MATLAB读取.ubh文件、点云数据滤波、误差分析、模型验证、三维表面拟合的源代码，目前调试无误(The file contains raw lidar data. MATLAB reads the source code of.Ubh file, point cloud data filtering, error analysis, model validation and 3D surface fitting. At present, debugging is
ICP算法matlab实现
- 很好地实现了激光雷达点云的ICP配准，附带数据(ICP registration of LIDAR point cloud is well realized)
mouse_CloudPoints
- 3D逆向建模用的点云，特M的之前找个点云，其他平台下载个数据还要花一堆各种币，太抠门了，分享给大家，随便用。(Point cloud for 3D reverse modeling, find a point cloud before TM, and other platforms need to spend a lot of money to download data. It's too stingy, share it with you, and use it casually.)
MY_PFH
- 计算激光雷达点云数据的点特征直方图，即PFH特征(calculate point features historm of LIDAR data)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi
code
- 在同一条关键路径上，若微服务j和与其直接关联的微服务j-n不在同一边缘计算节点或云中心执行，则存在云-边数据传输时间Ti,j-n,j，微服务j要在数据传输完成以后才能开始执行。其中，n表示同一条关键路径上微服务j与其直接相关联的微服务j-n之间的节点逻辑距离，datai,j-n,j表示微服务j-n与微服务j之间数据传输的大小。(In the same critical path, if microservice J and its directly associated microservice
点云数据配准求偏差
- matlab程序s-ICP 程序点云数据配准，可以实现两点云数据快速配准，以及结合面偏差求解小位移旋量求解