Robust Semi-Supervised Point Cloud Registration via Latent GMM-Based Correspondence
Due to the fact that point clouds are always corrupted by significant noise and large transformations, aligning two point clouds by deep neural networks is still challenging. This paper presents a semi-supervised point cloud registration (PCR) method for accurately estimating point correspondences a...
Main Authors: | Zhengyan Zhang, Erli Lyu, Zhe Min, Ang Zhang, Yue Yu, Max Q.-H. Meng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/18/4493 |
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