Local Scanned Point-Cloud Registration of Aeroengine Pipeline System Based on Axial Constraints
Author:
Affiliation:
1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Department of Computer Science, University of Oxford, Oxford, U.K.
Funder
National Natural Science Foundation of China
Key Research and Development Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10081218.pdf?arnumber=10081218
Reference41 articles.
1. Improving 3D Object Detection Through Progressive Population Based Augmentation
2. Aircraft Pipe Gap Inspection on Raw Point Cloud From a Single View
3. RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement
4. Use of a Weighted ICP Algorithm to Precisely Determine USV Movement Parameters
5. Thrift: Local 3D Structure Recognition
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3. Applying Collaborative Adversarial Learning to Blind Point Cloud Quality Measurement;IEEE Transactions on Instrumentation and Measurement;2023
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