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。
Also, the iterative closest point (ICP) algorithm and several critical techniques in implementing optimal match are briefly decrypted here.
论文将对偶四元数法应用到三维物体识别的匹配算法中，利用最小二乘的思想提出了一种基于迭代最近点的匹配算法。
Last, we apply the dual quaternion algorithm to matching algorithm of 3d object recognition and make use of least-squares technique to propose a matching method based on iterative closest point.
利用迭代最近等值点(ICCP)算法对重力图上的航迹进行匹配可以减小惯性导航系统误差，但计算量大。
It can reduce the error of the inertial navigation system when using Iterative Closest Contour Point (ICCP) algorithm for track matching on the gravity map, however it brings large computation costs.
目前最近距离扫描算法使用迭代法来计算最近距离点，计算量较大，迭代算法的收敛性对扫描算法的整体性能有较大的影响。
Currently, the iterative method is used to calculate the nearest points in scanning the nearest distance, which requires a large amount of calculation.
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。
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。
Nowadays, the most popular registration algorithm is the ICP algorithm, which utilizes iterative method to approach the best result.
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