دورية أكاديمية

Automatic Registration of Point Clouds by Combining Local Shape Descriptor and G4PCS Algorithm

التفاصيل البيبلوغرافية
العنوان: Automatic Registration of Point Clouds by Combining Local Shape Descriptor and G4PCS Algorithm
المؤلفون: Wuyong Tao, Jingbin Liu, Dong Xu, Yanyang Xiao
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6339-6351 (2023)
بيانات النشر: IEEE, 2023.
سنة النشر: 2023
المجموعة: LCC:Ocean engineering
LCC:Geophysics. Cosmic physics
مصطلحات موضوعية: Constraints, four-point congruent set (4PCS), local shape descriptor (LSD), point cloud registration, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
الوصف: Registration is usually the first step for the usage of point cloud data. Registration of point clouds is crucial in numerous practical applications. In order to quickly and accurately align point clouds, we combine the local shape descriptor and generalized four-point congruent set (G4PCS) algorithm. A descriptor with high computation efficiency is chosen to establish the correspondences. Then, the constraints of the G4PCS algorithm are applied and three angular constraints are proposed. These constraints are divided into three groups according to their computation complexity. The three groups of constraints are used to accelerate the searching process of four correct correspondences. The experiments are performed to compare our method with several existing methods. The experimental results show that our registration method has the best registration precision and computation efficiency. The introduction of the local shape descriptor can enhance both registration precision and computation efficiency. The proposed three angular constraints can also further boost the search process.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2151-1535
Relation: https://ieeexplore.ieee.org/document/10175604/; https://doaj.org/toc/2151-1535
DOI: 10.1109/JSTARS.2023.3293409
URL الوصول: https://doaj.org/article/c09b8f7d289747709d155f8a85ec433e
رقم الأكسشن: edsdoj.09b8f7d289747709d155f8a85ec433e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21511535
DOI:10.1109/JSTARS.2023.3293409