搜索资源列表
ICP
- ICP算法,主要用于三维点云数据的配准,最近点迭代算法,可以收敛到局部最小-registration of point cloud data,the iterated close point algorithm
REG_PLY
- 读入多组点云数据,全局配准,得到经过配准矫正后的图像数据 文件格式:*.PLY-Read multiple point cloud data, global registration, the registration to be corrected after the image data file formats:*. PLY
Opengl-draw-the-3D-curved-surface
- 在 opengl 环境下,绘制3D曲面,可以用来模拟点云的配准等功能-use the opengl to draw the 3D curved surface.
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
iterative_closest_point
- PCL 最近迭代点 对点云数据进行配准 对点云数据进行配准-iterative_closest_point
visKDTree
- 根据一片点云经过旋转变换,生成另一片点云,求出曲率,实现两片点云的粗配准。-Through the rotation transform a point cloud generated another piece of point cloud obtained curvature coarse registration of two point clouds.
ICP
- 一种点云数据的配准算法,可用于进一步的三维建模处理,配准效果良好。-One kind of point cloud data registration algorithm, three-dimensional modeling can be used for further processing, registration to good effect.
ICP-algorithm
- ICP算法,三维点云数据配准,能实现点云数据的精确配准,内部是vc++代码。-Registration of 3D point cloud data ICP algorithm
lastools
- 激光三维点云的处理源码,可以压缩点云,配准点云-Three-dimensional laser point cloud processing source code, can be compressed point cloud, point cloud registration
register
- 有关三维点云数据的配准程序,使用matlab编写的-For three-dimensional point cloud data registration procedures, matlab prepared using
Opengl-draw-the-3D-curved-surface
- 在 opengl 环境下,绘制3D曲面,可以用来模拟点云的配准等功能-use the opengl to draw the 3D curved surface.
libicp
- icp算法C++实例,用于点集的配准,实现两片点云数据的拼接-icp algorithm C++ instance, used for the registration point set to achieve splice two pieces of point cloud data
code
- 点云库的初步体验,包含点云库配准的大致骤,ASC文件的读取-Point Registration
ICP
- 可以运行的ICP源码 进行点云的配准 进行四暗运的刚体变换 有变换矩阵和变换向量-ICP source code can be run point cloud registration
PCL-1.6-sources
- PCL(Point Cloud Library)是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库,它实现了大量点云相关的通用算法和高效数据结构,涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。这里是PCL1.6的例子源码-PCL (Point Cloud Library) is on the basis of absorbing the predecessors Point Cloud related research to build a
ICPandKD_TREE-function
- icp算法的实现和kd-tree功能的实现,实现了三维激光扫描仪获取的多视点云配准和建立离散点间的拓扑关系,实现基于领域关系的快速查找。-kd-tree implementation and realization of function icp algorithm to achieve a multi-view point cloud registration and establish topological relations between discrete points, field-
ICPmatlab
- 三维点云配准,ICP迭代最近点法,用于两组数据之间的配准。(Three dimensional point cloud registration, ICP iteration, nearest point method.)
ICP算法
- 三维点云配准matlab算法,简洁易懂高效,适合入门学习。
3D_ICP-master
- 对三维点云进行处理,用ICP算法进行配准(Processing three-dimensional point cloud and registration with ICP algorithm)
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