A Survey of Point Cloud Completion-Reference-Cited by-同舟云学术

A Survey of Point Cloud Completion

Published:2024 Issue: Volume:17 Page:5691-5711
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhuang Zhiyun¹,Zhi Zhiyang²^ORCID,Han Ting²^ORCID,Chen Yiping²^ORCID,Chen Jun³,Wang Cheng³^ORCID,Cheng Ming³^ORCID,Zhang Xinchang⁴,Qin Nannan⁵^ORCID,Ma Lingfei⁶^ORCID

Affiliation:

1. College of Meteorology and Oceanography, National University of Defense Technology, Changsha, China

2. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China

3. Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, Xiamen, China

4. School of Geography and Remote Sensing, Guangzhou University, Guangzhou, China

5. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

6. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10433645.pdf?arnumber=10433645

Reference127 articles.

1. Completing point clouds using structural constraints for large-scale points absence in 3D building reconstruction

2. Learning Contours for Point Cloud Completion

3. Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding

4. PointNet: Deep learning on point sets for 3D classification and segmentation;Qi,2017

5. PointNet : Deep hierarchical feature learning on point sets in a metric space;Qi,2017