GraphReg: Dynamical Point Cloud Registration With Geometry-Aware Graph Signal Processing-Reference-Cited by-同舟云学术

GraphReg: Dynamical Point Cloud Registration With Geometry-Aware Graph Signal Processing

Published:2022 Issue: Volume:31 Page:7449-7464
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhao Mingyang¹^ORCID,Ma Lei¹^ORCID,Jia Xiaohong²^ORCID,Yan Dong-Ming³^ORCID,Huang Tiejun⁴^ORCID

Affiliation:

1. Beijing Academy of Artificial Intelligence, Beijing, China

2. Academy of Mathematics and Systems Science, CAS, Beijing, China

3. CAS, NLPR, Institute of Automation, Beijing, China

4. National Engineering Research Center of Visual Technology, School of Computer Science, BAAI and Institute for Artificial Intelligence, Peking University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science of Foundation for Outstanding Young Scholars

CAS Project for Young Scientists in Basic Research

National Natural Science Foundation of China

Open Research Fund Program of State key Laboratory of Hydroscience and Engineering, Tsinghua University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09966512.pdf?arnumber=9966512

Reference63 articles.

1. Fast Resampling of Three-Dimensional Point Clouds via Graphs

2. Point Cloud Denoising via Feature Graph Laplacian Regularization

3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

4. PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

5. Fast and robust iterative closest point;zhang;IEEE Trans Pattern Anal Mach Intell,2022

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