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PointVoteNet: Accurate Object Detection and 6 DoF Pose Estimation in
  Point Clouds

PointVoteNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds

19 December 2019
Frederik Hagelskjær
A. Buch
    3DPC
ArXivPDFHTML

Papers citing "PointVoteNet: Accurate Object Detection and 6 DoF Pose Estimation in Point Clouds"

5 / 5 papers shown
Title
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of
  Specific Rigid Objects
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects
M. Sundermeyer
Tomás Hodan
Yann Labbé
Gu Wang
Eric Brachmann
Bertram Drost
Carsten Rother
Juan E. Sala Matas
3DPC
33
76
0
25 Feb 2023
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain
  Robustness
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness
Jun-Hua Ouyang
Haoyao Chen
3DPC
25
5
0
19 Jul 2022
ParaPose: Parameter and Domain Randomization Optimization for Pose
  Estimation using Synthetic Data
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
Frederik Hagelskjær
A. Buch
OOD
31
8
0
02 Mar 2022
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis
  on Point Clouds
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds
Ge Gao
M. Lauri
Xiaolin Hu
Jianwei Zhang
Simone Frintrop
3DPC
3DH
28
38
0
02 Mar 2021
BOP Challenge 2020 on 6D Object Localization
BOP Challenge 2020 on 6D Object Localization
Tomás Hodan
M. Sundermeyer
Bertram Drost
Yann Labbé
Eric Brachmann
Frank Michel
Carsten Rother
Jirí Matas
3DPC
38
261
0
15 Sep 2020
1