1) iterative closest point algorithm
最近点迭代(ICP)算法
1.
An improved 3-D shape context is developed to establish corresponding point pairs between current measurement data and previous ones,then the candidate overlapping measurement data are selected,and verified and accurately registered by iterative closest point algorithm.
利用改进的3-Dshape context描述符建立当前测量数据与已获得数据间的匹配点对,得到候选的重叠数据,并用最近点迭代(ICP)算法进行验证和精确配准。
2) ICP algorithm
迭代最近点算法
1.
In this paper, the reliability of the algorithm of terrain matching based on ICP algorithm was analyzed.
根据迭代最近点算法的原理,从几何直观的角度研究了地形辅助导航系统匹配的可靠性,推导了旋转和平移的可靠性公式,并进行了数字仿真,结果表明,本文推导的可靠性结论是正确的。
2.
As the traditional ICP algorithm is liable to get local minimization problem and have a bad performance of real-time,a BP neural network was presented in the ICP algorithm.
鉴于传统的迭代最近点算法存在着易陷入局部最优的缺陷和实时性不好的问题,提出了一种将BP神经网络引入迭代最近点算法中进行地形匹配的新方法。
3) improved ICP algorithm
改进最近点迭代算法
4) iterative contour closed point
等值线最近点迭代算法
1.
The iterative contour closed point(ICCP) matching arithmetic in geomagnetic navigation system is based on the contours to realize the matching location,so detecting contour is indispensable to implement geomagnetic navigation.
地磁导航系统采用等值线最近点迭代算法达到最终匹配定位的目的,等值线最近点迭代算法是在等值线的基础上实现的,因此,等值线的提取是实现地磁导航的"必经之路"。
5) iterative closet point algorithm
最近点迭代法
6) Proximal point iterative algorithm
邻近点迭代算法
补充资料：最近
1.指说话前或后不久的日子。 2.极为接近。
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