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Deep Weighted Consensus: Dense correspondence confidence maps for 3D
  shape registration

Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration

6 May 2021
Dvir Ginzburg
D. Raviv
    3DPC
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Papers citing "Deep Weighted Consensus: Dense correspondence confidence maps for 3D shape registration"

3 / 3 papers shown
Title
Deep Confidence Guided Distance for 3D Partial Shape Registration
Deep Confidence Guided Distance for 3D Partial Shape Registration
Dvir Ginzburg
D. Raviv
3DV
3DPC
19
3
0
27 Jan 2022
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
120
109
0
16 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,103
0
02 Dec 2016
1