• Based on precisely matching of point cloud, this paper proposes an improved ICP algorithm.

    针对点云精确匹配,提出一种改进的ICP算法。

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  • When the ICP algorithm combines with RANSAC algorithm, the registration is high-speed and robust.

    论文把RANSAC粗配准算法与ICP精确配准算法相结合,具有较高的收敛速度和鲁棒性。

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  • But the convergence speed is still slow and the ICP algorithm may not converge to a global minimum.

    但ICP配准算法的收敛速度较慢,且不能保证收敛到全局最优点。

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  • Finally, by using ICP algorithm to modify the former result, the optimal registration can be achieved.

    最后采用ICP算法对点云初配结果进行优化,实现点云精确配准。

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  • Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.

    通过建筑物三维激光扫描数据的采集,对基于ICP算法的点云数据配准过程进行了详细地分析。

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  • When there is much difference between the initial configuration of the data sets, the ICP algorithm may finds a wrong result.

    在数据集初始位置差异较大时,IC P算法可能出现错误的配准结果。

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  • Nowadays, the most popular registration algorithm is the ICP algorithm, which utilizes iterative method to approach the best result.

    目前,应用最普遍的数据配准算法是最近点迭代(ICP)算法,它采用迭代方式逐渐逼近最佳结果。

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  • During the process of ICP registration, we choose different strategies in various stages of iteration and compose a simple and fast ICP algorithm.

    在ICP精确配准过程中,选择icp不同阶段的不同方法,形成了一种简单且快速的ICP算法。

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  • The method solves the problem of local minima of ICP algorithm, and the described method is also useful in the field of comparative analysis for precision measurement.

    采用两步法配准克服了标准ICP算法难以解决的局部最小问题,本算法也可广泛应用于精密测量时测量结果的比较分析。

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  • The working mechanism of classical ICP algorithm is deeply studied, and its advantages and limits are analyzed. Registration based on angular-invariant is then proposed.

    深入研究了经典ICP算法的工作原理,分析了ICP算法的优点和局限性,进而提出了基于角特征不变量的配准算法。

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  • Also, the iterative closest point (ICP) algorithm and several critical techniques in implementing optimal match are briefly decrypted here.

    概述了迭代最近点(ICP)算法及其实现最优匹配的几个关键问题。

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  • An ICP and GPC based 3D planar scene integration algorithm is proposed in the software module.

    介绍了系统的软件模块,提出了结合最近点迭代(ICP)和通用多边形裁剪(GPC)的3D平面场景合成方法。

    youdao

  • An ICP and GPC based 3D planar scene integration algorithm is proposed in the software module.

    介绍了系统的软件模块,提出了结合最近点迭代(ICP)和通用多边形裁剪(GPC)的3D平面场景合成方法。

    youdao

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