KSS-ICP: Point Cloud Registration Based on Kendall Shape Space-Reference-Cited by-同舟云学术

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KSS-ICP: Point Cloud Registration Based on Kendall Shape Space

Published:2023 Issue: Volume:32 Page:1681-1693
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lv Chenlei¹^ORCID,Lin Weisi²^ORCID,Zhao Baoquan³^ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

3. School of Artificial Intelligence, Sun Yat-sen University, Guangzhou, China

Funder

Ministry of Education, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10061449.pdf?arnumber=10061449

Reference56 articles.

1. Fast Registration for Cross-Source Point Clouds by using Weak Regional Affinity and Pixel-Wise Refinement

2. Weakly Supervised 3D Object Detection from Point Clouds

3. Consolidation of unorganized point clouds for surface reconstruction;hui;ACM Trans Graph,2009

4. Robust registration of 2D and 3D point sets

5. Method for registration of 3D shapes;besl;Proc SPIE,1992

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1. Class-imbalanced semi-supervised learning for large-scale point cloud semantic segmentation via decoupling optimization;Pattern Recognition;2024-12

2. PCAlign: a general data augmentation framework for point clouds;Scientific Reports;2024-09-12

3. Joint magnetic resonance imaging artifacts and noise reduction on discrete shape space of images;Pattern Recognition;2024-09

4. Air Traffic Controller Workload Detection Based on EEG Signals;Sensors;2024-08-15

5. Point cloud registration via sampling-based evolutionary multitasking;Swarm and Evolutionary Computation;2024-08

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