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  3. 2003.06752
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Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point
  Problem

Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem

15 March 2020
Liu Liu
Dylan Campbell
Hongdong Li
Dingfu Zhou
Xibin Song
Ruigang Yang
    3DPC3DV
ArXiv (abs)PDFHTML

Papers citing "Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem"

11 / 11 papers shown
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic
  Environments using Graph Neural Networks
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks
Theresa Huber
Xingxing Zuo
Stefan Leutenegger
366
0
0
17 Mar 2024
AP$n$P: A Less-constrained P$n$P Solver for Pose Estimation with Unknown
  Anisotropic Scaling or Focal Lengths
APnnnP: A Less-constrained PnnnP Solver for Pose Estimation with Unknown Anisotropic Scaling or Focal Lengths
Jiaxin Wei
Stefan Leutenegger
L. Kneip
225
0
0
15 Oct 2023
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained
  Diffusion Models and Monocular Depth Estimators
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth EstimatorsInternational Conference on Learning Representations (ICLR), 2023
Haiping Wang
Yuan Liu
Bing Wang
Yujing Sun
Zhenchao Dong
Wenping Wang
Bisheng Yang
DiffM
261
29
0
05 Oct 2023
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free
  2D-3D Matching
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D MatchingComputer Vision and Pattern Recognition (CVPR), 2023
Shuzhe Wang
Arno Solin
Dániel Baráth
3DV
253
15
0
21 Jun 2023
Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using
  Learned 2D-3D Point-Line Correspondences
Sparse Semantic Map-Based Monocular Localization in Traffic Scenes Using Learned 2D-3D Point-Line CorrespondencesIEEE Robotics and Automation Letters (RA-L), 2022
Xingyu Chen
Jianru Xue
Zehao Wu
3DPC
207
8
0
10 Oct 2022
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
Siyu Ren
Yiming Zeng
Xianqiang Lyu
Xiaodong Chen
3DH
407
98
0
12 Jul 2022
A Unified Framework for Implicit Sinkhorn Differentiation
A Unified Framework for Implicit Sinkhorn DifferentiationComputer Vision and Pattern Recognition (CVPR), 2022
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Florian Bernard
Zorah Lähner
AI4CE
197
31
0
13 May 2022
Is Geometry Enough for Matching in Visual Localization?
Is Geometry Enough for Matching in Visual Localization?European Conference on Computer Vision (ECCV), 2022
Qunjie Zhou
Sérgio Agostinho
Aljosa Osep
Laura Leal-Taixé
398
61
0
24 Mar 2022
PlueckerNet: Learn to Register 3D Line Reconstructions
PlueckerNet: Learn to Register 3D Line ReconstructionsComputer Vision and Pattern Recognition (CVPR), 2020
Liu Liu
Hongdong Li
Haodong Yao
Ruyi Zha
3DPC3DV
278
9
0
02 Dec 2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust
  Differentiable Geometric Optimization
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric OptimizationEuropean Conference on Computer Vision (ECCV), 2020
Dylan Campbell
Liu Liu
Stephen Gould
3DV3DPC
313
69
0
29 Jul 2020
Learning 3D-3D Correspondences for One-shot Partial-to-partial
  Registration
Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration
Zheng Dang
Fei Wang
Mathieu Salzmann
3DPC
187
21
0
08 Jun 2020
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