搜索资源列表
retdh
- 用vc实现点云文件的加载和显示后,(dxf格式) 如何实现其中一些点的选取和删除的功能, 有没有类似的原代码发我一个,谢谢!-with vc achieve Cloud document loading and after the show, (dxf format) how to achieve some point select and delete functions, there are similar to the original code, I made a, th
opencv17
- 简单的同时使用OPENGL和OPENCV的例子,能够根据云点图生成3d图像,对学习3d重建和立体视觉很有用。-A simple example using OPENGL and OPENCV can generate 3d image based on the cloud point of Figure 3d image,which is helpful to study 3d reconstruction and stereo vision 。
sgby
- 简易安装说明档---(后续会有详细说明档) 1.上传所有文件至服务器目录 2.创建数据库 编码选 gb2312_chinese_ci(虚拟空间略过) 3.进入数据库,点右上角的操作 下面的整理选gb2312_chinese_ci 4.点击IMPORT 选择数据库文件夹下sql 文件。导入下面的编码选GB2312 5.导入成功后,即可进入游戏 6.后台地址:xxx.xxxxx.xxx/admin.php 默认管理员账号 admin admin 7.登陆后台 配置好系统配
800sanguo
- 价值800元的三国源码 1.上传所有文件至服务器目录 2.创建数据库 编码选 gb2312_chinese_ci(虚拟空间略过) 3.进入数据库,点右上角的操作 下面的整理选gb2312_chinese_ci 4.点击IMPORT 选择数据库文件夹下sql 文件。导入下面的编码选GB2312 5.导入成功后,即可进入游戏 6.后台地址:xxx.xxxxx.xxx/admin.php 默认管理员账号 admin admin 7.登陆后台 配置好系统配置和游戏配置。
Efficient_Variants_of_the_ICP_Algorithm
- 斯坦福的一片文章 综述了迭代最近点算法的各种改进 客观地比较了他们优劣 提出了一个实时的高效组合 做点云配准必读-an artical from Stanforda. summarizes the variant of iterative closest point algorithm and objectively compare the advantages and disadvantages, finily proposed combination with a high-speed r
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
opencv16
- 以前用opencv做过的Stereo算法,可以生成云点图像,对学习opencv,立体视觉很有帮助。-Previously done with opencv Stereo algorithms can generate the cloud point image, which is helpful to learning opencv, stereo vision .
Laser-Interface-1
- txt点云数据的读取,可以实现点云的框选,旋转,提取边界等操作,是非常好的点云预处理程序。-read txt cloud point,option the certain cloud,rotation、bounder,it is useful。
Surface_splatting
- splatting 方法 , point method for cloud point-splatting method, point method for cloud point
guokr_cloud_computing_feature_book
- 关于最近比较火的云计算,说得很好,讲解的也比较详细。-Very good point about the recent fire cloud computing, explain more detailed.
OGL_Cloud
- 利用OpenGL点精灵实现云模拟,内含PDF说明文件。-OpenGL point sprites cloud simulation contains PDF documentation.
yunio
- 云诺云盘开出了免费领取空间的通道,但是需要手动点.这个可以直接一步获取最高的容量-Cloud Connaught cloud disk out to receive free space channel, but the need to manually point this can directly obtain the highest capacity step
点云数据读取与操作
- 这是基于matlab平台实现的三维点云数据读取与显示,以及相应的操作。非常适合初学者学习,强烈推荐(This is based on the MATLAB platform to achieve the three-dimensional point cloud data reading and display, as well as the corresponding operation. Very suitable for beginners, highly recommended)
MyCrust
- 对激光雷达点云进行三角剖分,对传统Crust算法进行了改进(Triangulation of LIDAR point cloud)
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
- 部分公开点云数据集,txt格式,用于配准研究(Partial open point cloud data set, TXT format, for registration research)
点云三维重建
- 用MATLAB实现激光雷达的三维点云的重建。(Reconstruction of 3D point cloud with MATLAB)
MATLAB读取显示txt格式点云
- MATLAB读取txt格式的点云数据,好用,完美运行。(Matlab read TXT format point cloud data, easy to use, perfect operation.)
one_arm
- 采用蒙特卡罗法计算单机械臂工作空间,得到三维点云图。(The working space of single arm is calculated by Monte Carlo method, and the three-dimensional point cloud is obtained.)
点云进行matlab三维重建
- 使用matlab,基于点云进行三维物体重建,里面包括一些图片(3D reconstruction of point cloud)