搜索资源列表
Plotting3DPointsonta2Dscreen
- 二维屏幕上表现三维点的绘制方法——适合图形编程的数字运算方法原理-2D screen performance 3D Rendering point -- suitable for graphical programming method of calculation principle
3D-reconstructiong-in-Matlab
- 本程序用于绘制三维图形，可以对地面激光点云数据进行三维建模。-The procedure used to draw three-dimensional graphics, you can on the ground laser point cloud data for three-dimensional modeling.
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.
data_arrange
- 数据结构排序算法,透视投影是3D固定流水线的重要组成部分，是将相机空间中的点从视锥体(frustum)变换到规则观察体(Canonical View Volume)中，待裁剪完毕后进行透视除法的行为。在算法中它是通过透视矩阵乘法和透视除法两步完成的。 透视投影变换是令很多刚刚进入3D图形领域的开发人员感到迷惑乃至神秘的一个图形技术。其中的理解困难在于步骤繁琐，对一些基础知识过分依赖，一旦对它们中的任何地方感到陌生，立刻导致理解停止不前。-Data structures sorting
intersectPlanes
- This file is used to find out the distance between a point and a line in 3d
vectarrow
- vectarrow(p0,p1) plots a line vector with arrow pointing from point p0 to point p1. The function can plot both 2D and 3D vector with arrow depending on the dimension of the input
WGL02
- 自行编写一个简单的Vector3 向量类，至少需支持3D向量间的加减乘除操作，向量与标量浮点数的乘除操作，以及点乘(Dot)和叉积(Cross)以及归一化（Normalize）操作。（20 ） (2) 自行编写一个Matrix4x4矩阵类，至少需要支持矩阵间加减操作，矩阵乘操作，矩阵单位化操作（Identity，即输出一个单位矩阵），转置操作，以及矩阵与3D向量相乘的操作。（请思考为何使用4x4的矩阵，并注意其与3D向量的相乘方式，实际上，我们需要将3D向量转为4D齐次表示形式，相乘后再转换
plot3k
- Generate a 3D point plot of L=(x,y,z) using the values in the vector c to determine the color of each point. If c is empty, then z (column 3 of L) is used to color the plot. The data points are sorted so that plot3 is only called once for each
BallFretting190809
- This tool is a simplification of the ballpivoting algorithm. It imagines a bella eating a delaunay traignulation in order to extract a manifold surface. It requires a single parameter: radius of the fretting ball. Ball Fretting Given a unif
3dpml
- 3d pml fdtd with point source
3d-point-Fourier
- matlab代码，三维点云数据处理，对含灰度的三维点云进行傅立叶变换-matlab code, three-dimensional point cloud data processing, the three-dimensional point cloud with gray Fourier transform
icp-by-Jakob-Wilm
- 使用ICP算法实现三维点云数据的自动配准-Automatic registration of 3D point cloud data using the ICP algorithm
3D reconstruction from point
- 3D reconstruction from unordered point cloud with alpha-shape method and crust 3D
3D-PLOT-USING-MATLAB-IN-PSCAD
- 3D PLOT USING MATLAB IN PSCAD WARNING * This case only works if you use the Compaq/Intel Fortran Compiler. A T_D_PLOT component. It provides the interface to a MATLAB function t_d_plot . It is a user-defined function and the m-fi
rotation-and-translation
- 三维点云通过平移话旋转矩阵进行位置变换的程序实现-3D point cloud transformed by translating and rotation matrix
3D-Convex-Hall_struct
- 构建三维凸包 给出很多的点坐标，然后根据算法要求构建凸包-Construction of three-dimensional convex hull We give a lot of point coordinates, and then build the convex hull algorithm according to the requirements of
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-Using MATLAB to achieve three-dimensional modeling source code, the effect is very good, can be used for modeling 3D point cloud data
多传感器定位算法
- 使用多种算法（DAC、Hyperbolic、DAC、SI、SX、Taylar）实现多传感器对单点定位（采用高斯噪声），其中Hyperbolic与SI为3d定位，其他的为平面定位(Using a variety of algorithms (DAC, Hyperbolic, DAC, SI, SX, Taylar) to achieve single point positioning (using Gauss noise), Hyperbolic and SI are 3D location,
3dLOF
- 三维点云的LOF算法，可以计算各点的LOF值，进而识别离群点。带入用户自己的TXT形式的点云文件即可。(The LOF algorithm of 3D point cloud can calculate the LOF value of each point, and then identify outliers. Bring the user's own TXT form of point cloud file.)
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