Registration Algorithm for Noncongruent Point Clouds

被引：0
|
作者：
Makovetskii, A. Yu. [1 ]
Voronin, S. M. [1 ]
Kober, V. I. [1 ,2 ]
Voronin, A. V. [1 ]
机构：
[1] Chelyabinsk State Univ, Chelyabinsk 454001, Russia
[2] Ensenada Ctr Sci Res & Higher Educ, Ensenada 22860, BC, Mexico
来源：
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING | 2022年 / 58卷 / 05期
基金：
俄罗斯科学基金会;
关键词：
point clouds; three-dimensional space; coarse registration; descriptor; orthogonal transformation; CLOSED-FORM SOLUTION; HISTOGRAMS;
D O I：
10.3103/S8756699022050090
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Three-dimensional point cloud registration algorithms calculate an orthogonal transformation that maximizes the consistent overlap of two point clouds. The most common registration method that uses only geometric characteristics is the iterative closest point (ICP) algorithm. The disadvantage of classical ICP implementations is their dependence on the initial location of point clouds. Coarse registration algorithms are used to find a suitable initial registration of two clouds. A new algorithm for determining common parts and coarse registration of point clouds is proposed.
引用
收藏
页码：448 / 456
页数：9
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