SC$^{2}$-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration-Reference-Cited by-同舟云学术

SC$^{2}$-PCR++: Rethinking the Generation and Selection for Efficient and Robust Point Cloud Registration

Published:2023 Issue: Volume: Page:1-18
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Chen Zhi¹,Sun Kun²,Yang Fan¹,Guo Lin¹,Tao Wenbing¹^ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10115040.pdf?arnumber=10115040

Reference101 articles.

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4. NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences

5. Graph-cut RANSAC: Local optimization on spatially coherent structures;barath;IEEE Trans Pattern Anal Mach Intell,2022

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