最小截平方
迭代最近点
离群值
稳健性(进化)
估计员
残余物
稳健统计
稳健回归
数学
截断平均数
最小二乘函数近似
计算机科学
算法
统计
非线性最小二乘法
人工智能
点云
生物化学
化学
基因
作者
Ying Yan,Qi Xia,Wang Ke
出处
期刊:Applied Mechanics and Materials
[Trans Tech Publications, Ltd.]
日期:2012-11-01
卷期号:220-223: 1381-1384
标识
DOI:10.4028/www.scientific.net/amm.220-223.1381
摘要
The iterative closest point (ICP) method is one of the most important methods for 2D/3D point registration. Robust statistical method is applied widely for improving the robustness of ICP. A new method that incorporates the Least Trimmed Squares (LTS) Estimator into the ICP is proposed in this paper. In this method, outliers are removed according to characteristics of residual distribution. A large number of experimental results show that the proposed method is robust and efficient.
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