Hybrid Global optimization Methods and Iterative Closest Point on Point-based Approach for 3D Registration

Linh Tao, Tinh Nguyen, Trung Nguyen, Tam Bui

研究成果: Conference contribution

抄録

This paper proposes a novel approach to solve pair-wise registration problem which aligns different pointclouds taken from the same object or scenario at different angles. The new method uses points as a searching medium replacing convention six-dimensional one. By doing this, the number of searching dimensions is significantly reduced. Using the same number of searching loops, the new method results in a higher convergence rate into global optimal results. The approach is successfully implemented in a hybrid registration strategy which combines Iterative Closest Point (ICP) as a local aligning tool and a global searching algorithm such as state-of-the-arts including Simulated Annealing, Particle Swarm optimization, Differential Evolution or a recently developed adaptive Differential Evolution algorithm, ISADE. The accuracy and robustness of the new method over the conventional approach are proved through various experiments on different datasets.

本文言語English
ホスト出版物のタイトル2020 International Conference on Advanced Mechatronic Systems, ICAMechS 2020
出版社IEEE Computer Society
ページ192-197
ページ数6
ISBN(電子版)9781728165301
DOI
出版ステータスPublished - 2020 12 10
外部発表はい
イベント2020 International Conference on Advanced Mechatronic Systems, ICAMechS 2020 - Hanoi, Viet Nam
継続期間: 2020 12 102020 12 13

出版物シリーズ

名前International Conference on Advanced Mechatronic Systems, ICAMechS
2020-December
ISSN(印刷版)2325-0682
ISSN(電子版)2325-0690

Conference

Conference2020 International Conference on Advanced Mechatronic Systems, ICAMechS 2020
国/地域Viet Nam
CityHanoi
Period20/12/1020/12/13

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 機械工学

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