A Novel Approach to the Extraction of Key Points From 3-D Rigid Point Cloud Using 2-D Images Transformation-Reference-Cited by-同舟云学术

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A Novel Approach to the Extraction of Key Points From 3-D Rigid Point Cloud Using 2-D Images Transformation

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Hui¹^ORCID,Sun Dongge²,Liu Wanquan³^ORCID,Wu Hongyan¹,Liang Man¹,Liu Peter Xiaoping⁴^ORCID

Affiliation:

1. College of Automation Engineering, Shanghai University of Electric Power, Shanghai, China

2. State Grid Henan Electric Power Company Xinxiang Power Supply Company, Xinxiang, Henan, China

3. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China

4. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09775976.pdf?arnumber=9775976

Reference31 articles.

1. Research on 3D reconstruction technology based on 2D image;gaorui;Machinery,2019

2. 3D Surface Matching by a Voxel-Based Buffer-Weighted Binary Descriptor

3. Deep Matting for Cloud Detection in Remote Sensing Images

4. An Automatic Registration Approach to Laser Point Sets Based on Multidiscriminant Parameter Extraction

5. 3D object recognition method with multiple feature extraction from LiDAR point clouds

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. Integration of Imaging and Recognition for Marine Targets in Fast-Changing Attitudes With Multi-Station Wideband Radars;IEEE Transactions on Aerospace and Electronic Systems;2023

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