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Challenging the Universal Representation of Deep Models for 3D Point
  Cloud Registration

Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration

29 November 2022
David Bojanić
Kristijan Bartol
J. Forest
Stefan Gumhold
Tomislav Petković
Tomislav Pribanić
    3DPC
ArXivPDFHTML

Papers citing "Challenging the Universal Representation of Deep Models for 3D Point Cloud Registration"

4 / 4 papers shown
Title
PCAM: Product of Cross-Attention Matrices for Rigid Registration of
  Point Clouds
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
Anh-Quan Cao
Gilles Puy
Alexandre Boulch
Renaud Marlet
3DPC
24
44
0
04 Oct 2021
Feature-metric Registration: A Fast Semi-supervised Approach for Robust
  Point Cloud Registration without Correspondences
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences
Xiaoshui Huang
Guofeng Mei
Jian Andrew Zhang
3DPC
56
242
0
03 May 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local
  Features
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
Xuyang Bai
Zixin Luo
Lei Zhou
Hongbo Fu
Long Quan
Chiew-Lan Tai
3DPC
31
375
0
06 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
219
13,886
0
02 Dec 2016
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