搜索资源列表
ICP-algorithm.rar
- 一种基于ICP算法的医学图像几何配准技术,ICP algorithm based on the geometry of the medical image registration techniques
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
register
- 点云的配准实验s-icp算法 实现两个点云数据的对准-A scale stretch method based on ICP for 3D data registration
ICP_Iterative-Closest-Point_VTK
- ICP算法Iterative Closest Point及VTK实现.ICP算法最初由Besl和Mckey提出，是一种基于轮廓特征的点配准方法。-ICP algorithm _Iterative Closest Point and VTK to achieve. ICP algorithm originally developed by Besl and Mckey proposed is based on contour feature point registration method.
icp-summarize
- 三维点集配准问题是计算机技术中的一个极其重要的问题，作为解决三维点集配准问题的一个应用较为广泛的算法，ICP算法得到了研究者的关注，本文以一种全新的思路从配准元素的选择、配准策略的确定和误差函数的求解等3个方面对三维点集配准的ICP算法的各种改进和优化进行了分类和总结。-3D point set registration problem is an extremely important problem in computer technology, is widely used as an a
M.icp
- 基于ICP算法，用matlab来实现的点云配准函数，直接调用便可运行，并且都有注释，便于理解-Based on ICP algorithm, using matlab to realize the point cloud registration function can be called directly run, and have notes, easy to understand
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.
IterativeClosestPointsTransform
- vtk里面关于ICP点云配准的程序，调试可用。-vtk inside on ICP point cloud registration procedures, debugging is available.
fitzgibbon01c
- 医学图像配准，医学图像2D_3D配准，基于vc++开发。-This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose nonlinear optimization (the Levenberg-Marquardt algorithm). The surprising conclusion of
icp
- ICP算法实现点云配准,在pcl点云库课本第13章第二节实例的基础上进行了改进，实现了更精确配准-ICP algorithm for point cloud registration, in Chapter 13, Section instance pcl basis point cloud library textbook has been improved to achieve a more accurate registration
iterative_closest_point
- ICP算法在点云数据配准方面的一个例子，可以参考-An example of ICP algorithm in terms of point cloud data registration, you can refer
ICP
- ICP图像配准算法的matlab程序。Robust Registration of 2D and 3D Point Sets-Andrew Fitzgibbon University of Oxford-Robust Registration of 2D and 3D Point Sets-Andrew Fitzgibbon University of Oxford
icp
- 点云配准ICP算法,实现散乱点云的匹配,经典算法。基于MATLAB和VC实现,操作简单-point cloud ICP registration algorithm，classical algorithm of scattered point cloud matching . Based on MATLAB and VC implement, easy to operate.
icp.m
- 三维点云配准，icp原代码，亲测有效，适合初学者学习。-3D point cloud registration, icp source code, effective pro-test, suitable for beginners to learn.
registration-dual-quatanion
- 基于对偶四元数的多个视图的配准方法源代码，这是一种全局配准的优化方法，一般迭代最近邻方法在配准多个视图时会产生累计误差，这个时候就可以使用本方法消除这种累计误差。- This is the code for the famous paper Multiview Registration via Graph Diffusion of Dual Quaternions 。It can reduce the cumulated error through ICP registration alg
laser-kinect-pointcloud-register-icp
- 针对三维重建中的点云配准问题，提出一种基于点云特征的自动配准算法。利用微软Kinect传感器采集物 体的多视角深度图像，提取目标区域并转化为三维点云。对点云进行滤波并估计快速点特征直方图特征，结合双向 快速近似最近邻搜索算法得到初始对应点集，并使用随机采样一致性算法确定最终对应点集。根据奇异值分解法 求出点云的变换矩阵初始值，在初始配准的基础上运用迭代最近点算法做精细配准。实验结果表明，该配准方法既 保证了三维点云的配准质量，又降低了计算复杂度，具有较高的可操作性和鲁棒性。
ICP算法实现
- 用于点云配准的实现，具体来说是ICP算法，配准效果好(ICP algorithm is realized, and the registration effect is good)
sac+icp配准
- sac粗配准 icp精配准 实现三维点云配准(sac icp point cloud registration)
PointSetAlign
- 3D点云拼接,实现旋转平台点云，ICP配准。点云格式ply，标定好旋转轴后实现拼接然后配准(3D point cloud splicing, rotating platform point cloud, ICP registration. Point cloud format ply, after calibrating the rotating axis, realize registration and registration.)
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)