Point Cloud Registration Based on Global and Local Feature Fusion

Wenping Ma; Mingyu Yue; Yongzhe Yuan; Yue Wu; Hao Zhu; Licheng Jiao

doi:10.1007/978-3-031-14903-0_33

ScienceGate Book Chapters

BOOK-CHAPTER

Point Cloud Registration Based on Global and Local Feature Fusion

Wenping Ma Mingyu Yue Yongzhe Yuan Yue Wu Hao Zhu Licheng Jiao

Year: 2022 IFIP advances in information and communication technology Pages: 310-317 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-14903-0_33

Get Full-Text PDF Get Analytical Report

Keywords:

Point cloud Computer science Rigid transformation Feature (linguistics) Artificial intelligence Point (geometry) Cloud computing Transformation (genetics) Task (project management) Sensitivity (control systems) Computer vision Data mining Mathematics Engineering

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.42

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Point Cloud Registration Based on Global and Local Feature Fusion

Metrics

Topics

Related Documents

PTRNet: Global Feature and Local Feature Encoding for Point Cloud Registration

Feature Description with Feature Point Registration Error Using Local and Global Point Cloud Encoders

Point Cloud Registration Based on AGConv Local Feature Descriptors

Point Cloud Saliency Detection by Local and Global Feature Fusion

OLFF-Net: Robust Registration of 3D Point Cloud based on Overlapped Local Feature Fusion