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Implementation of an Interval Iterative Closest Point that uses intervals to found the global optimal solution.
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基于遗传迭代最近点算法的激光数据配准Iterative closest point algorithm based on genetic data registration of laser-Iterative closest point algorithm based on genetic data registration of laser
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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.
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icp(iterative closest point)的代码,本人已经使用过了,效果还行,总共就一个文件,所有的函数都写在这上面了-icp (iterative closest point) of the code, I have used, and the results were OK, total on a file, all of the functions are written in it.
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Iterative Closest Point (ICP) 算法的改进型,精读高于原始版的,对点云噪声和漏洞的处理效果更好于原始版。-Iterative Closest Point (ICP) algorithm is improved, intensive than the original version.
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迭代最近点算法的一个简单实现,并使用了两个二维点集进行测试-an implementation and validation for the data association of two 2d point sets based on iterative closest points
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C/C++实现ICP(迭代最近点算法),实现三维点数据的对齐-using C/C++ to achieve ICP (iterative closest point algorithm), to achieve a three-dimensional point data alignment
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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。
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这是关于在“icp.m”中实现的ICP(迭代最近点)算法的代码。 其有使用例子
使用在“example.m”和“example2.m”中找到,其中使用最小二乘点对点最小化,
除了最小二乘最小化之外,还实现了其他标准函数。-
This is a short documatation about the ICP (iterative closest point) algorithm implemented in icp.m . Examples of its simplest
us
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经典的迭代最近点程序。ICP算法。该程序用来配准两片点云或者两幅图像。可以在Linux下运行,也可以在Windows下运行。-Classic iterative closest point in the program. ICP algorithm. The procedure used to registering two point cloud or two images. Can run under Linux, it can also run under Windows.
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各种ICP点云精配方法整合(传统ICP及其衍生模式)(An implementation of various ICP (iterative closest point) features.)
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迭代最近点算法进行点云拼接,此程序为Matlab语言(Iterative closest point algorithm for point cloud mosaic)
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