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Necessity Feature Correspondence Estimation for Large-scale Global Place
  Recognition and Relocalization

Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization

11 March 2023
Kyeongsu Kang
Minjae Lee
Hyeonwoo Yu
    3DPC
ArXivPDFHTML

Papers citing "Necessity Feature Correspondence Estimation for Large-scale Global Place Recognition and Relocalization"

4 / 4 papers shown
Title
Patchwork++: Fast and Robust Ground Segmentation Solving Partial
  Under-Segmentation Using 3D Point Cloud
Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud
Seungjae Lee
Hyungtae Lim
Hyun Myung
3DV
45
104
0
25 Jul 2022
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place
  Recognition
LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
Kavisha Vidanapathirana
Milad Ramezani
Peyman Moghadam
S. Sridharan
Clinton Fookes
3DPC
3DV
31
81
0
17 Sep 2021
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with
  Ground Likelihood Estimation Using a 3D LiDAR Sensor
Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
Hyungtae Lim
Mi-Suk Oh
Hyun Myung
38
108
0
12 Aug 2021
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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