搜索资源列表
icpCpp
- Iterative Closest points算法，被广泛应用在3d领域，这里实现了将两团点云align到一起的功能-Iterative Closest points algorithm, has been widely used in the field of 3d, where the implementation of the two groups to align with the point cloud of the function
PointCloud3DReconstruction
- 实现了点云的三维网格化重建，并附上了些测试点云数据-Realized three-dimensional grid point cloud reconstruction, along with some test point cloud data
Point_Curvature
- 估计一个离散点云中某个点的高斯曲率和离散曲率，算法是拟合一个二次曲面-Estimate a discrete point cloud to a point in the discrete Gaussian curvature and the curvature, the algorithm is a quadratic surface fitting
gridfit
- 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.
google-map-training
- 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.
points-clouds-
- matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI-matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M
flowercloud
- 基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。-Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number o
Matlab
- matlab三维点云重建网格建立实例编程教程，对反求的很有用-Matlab 3 d point clouds reconstruction grid establish instance programming tutorial, the reverse is very useful
3d-pointcloud-view
- 基于MATLAB的三维彩色点云的显示，真彩色，支持.ply格式，内附.ply格式的点云，-MATLAB 3D Point Cloud Processing
二维云
- 二维云模型，matlab脚本编写，点开即可运行，效果很好(Two dimensional cloud model, matlab scr ipting, click open can run, the effect is very good)
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)
hand.ply
- 常用的三维点云数据，手的三维数据可以用MATLAB和PCL打开。(Common 3D point cloud data)
用主成分分析法估计出点云中每点的法向量函数
- 用主成分分析法估计出点云中每点的法向量函数，实现平台为matlab(Principal component analysis is used to estimate the normal vector function of every point in point cloud, and the platform is matlab.)
normnd
- matlab代码，可以计算点云中的法向向量，可用于检测点云中的平面等(Calculating normal vectors of point clouds)
read3Ddataoftxt
- 能够读取txt文件中的三维点云数据，渲染并显示三维图像，180°自动旋转查看(To 3D point cloud data read TXT file, rendering and displaying 3D images, automatic rotation view of 180 degrees)
GA
- 遗传算法，模拟达尔文进化论的自然选择和遗产学机理的生物进化构成的计算模型，一种不断选择优良个体的算法。谈到遗传，想想自然界动物遗传是怎么来的，自然主要过程包括染色体的选择，交叉，变异（不明白这个的可以去看看生物学），这些操作后，保证了以后的个基本上是最优的，那么以后再继续这样下去，就可以一直最优了。利用遗传算法，实现三维点云的配准。(Genetic algorithm, a computational model that simulates the biological evolution o
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
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
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