MDR-MFI:Multi-Branch Decoupled Regression and Multi-Scale Feature Interaction for Partial-to-Partial Cloud Registration
Author:
Affiliation:
1. Hikvision Research Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095599.pdf?arnumber=10095599
Reference34 articles.
1. Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration
2. Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
3. End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration
4. 3DRegNet: A Deep Neural Network for 3D Point Registration
5. HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
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3. Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06
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