A Single Correspondence Is Enough: Robust Global Registration to Avoid Degeneracy in Urban Environments
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Abstract (arXiv)
Global registration using 3D point clouds is a crucial technology for mobile platforms to achieve localization or manage loop-closing situations. In recent years, numerous researchers have proposed global registration methods to address a large number of outlier correspondences. Unfortunately, the degeneracy problem, which represents the phenomenon in which the number of estimated inliers becomes lower than three, is still potentially inevitable. To tackle the problem, a degeneracy-robust decoupling-based global registration method is proposed, called Quatro. In particular, our method employs quasi-SO(3) estimation by leveraging the Atlanta world assumption in urban environments to avoid degeneracy in rotation estimation. Thus, the minimum degree of freedom (DoF) of our method is reduced from three to one. As verified in indoor and outdoor 3D LiDAR datasets, our proposed method yields robust global registration performance compared with other global registration methods, even for distant point cloud pairs. Furthermore, the experimental results confirm the applicability of our method as a coarse alignment. Our code is available: https://github.com/url-kaist/quatro.
Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). Builds on 20 of its 75 references that are in the map. First posted on arXiv 13 Mar 2022.
Builds on
20 of 75 references.
References · 20
- 2017VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimatorcited by 423
- 2020TEASER: Fast and Certifiable Point Cloud Registrationcited by 274
- 2020LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mappingcited by 188
- 2016Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registrationcited by 159
- 20183DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registrationcited by 103
- 2019Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejectioncited by 94
- 2019DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registrationcited by 77
- 2019LO-Net: Deep Real-time Lidar Odometrycited by 60
- 2020ROBIN: a Graph-Theoretic Approach to Reject Outliers in Robust Estimation using Invariantscited by 38
- 2021ERASOR: Egocentric Ratio of Pseudo Occupancy-based Dynamic Object Removal for Static 3D Point Cloud Map Buildingcited by 29
- 2021Large-scale Localization Datasets in Crowded Indoor Spacescited by 29
- 2021Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensorcited by 29
8 more
- 2020DMLO: Deep Matching LiDAR Odometrycited by 20
- 2021RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibilitycited by 16
- 2013Parallel Maximum Clique Algorithms with Applications to Network Analysis and Storagecited by 15
- 2021PHASER: a Robust and Correspondence-free Global Pointcloud Registrationcited by 15
- 2021Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Featurescited by 13
- 2019Outlier-Robust Spatial Perception: Hardness, General-Purpose Algorithms, and Guaranteescited by 10
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- 2021IRON: Invariant-based Highly Robust Point Cloud Registrationcited by 3
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Citing papers per year: 2022: 2; 2023: 5; 2024: 4; 2025: 5; 2026: 3.
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- 2023(LC)2: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognitioncited by 17
- 2024KISS-Matcher: Fast and Robust Point Cloud Registration Revisitedcited by 16
- 2023G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Modelcited by 11
- 2025Register Any Point: Scaling 3D Point Cloud Registration by Flow Matchingcited by 9
- 2025BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenescited by 8
- 2023Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlapcited by 6
- 2025MambaGlue: Fast and Robust Local Feature Matching With Mambacited by 5
- 2023Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Priorcited by 3
- 2022PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attentioncited by 2
- 2022PaGO-LOAM: Robust Ground-Optimized LiDAR Odometrycited by 1
- 2024Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentationcited by 1
- 2024QuadricsReg: Large-Scale Point Cloud Registration using Quadric Primitivescited by 1
7 more
- 2026Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setupscited by 1
- 2023RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimationcited by 0
- 2024V2I-Calib: A Novel Calibration Approach for Collaborative Vehicle and Infrastructure LiDAR Systemscited by 0
- 2025GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlappingcited by 0
- 2025GroundLoc: Efficient Large-Scale Outdoor LiDAR-Only Localizationcited by 0
- 2026DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forestscited by 0
- 2026PARTE: Plane-Assisted Robust Transformation Estimation for Point Cloud Registrationcited by 0
- 2026PARTE: Plane-Assisted Robust Transformation Estimation for Point Cloud Registration21 Sep 2026
- 2026DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests23 Jul 2026
- 2026Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups6 Jan 2026
- 2025Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching1 Dec 2025
- 2025GroundLoc: Efficient Large-Scale Outdoor LiDAR-Only Localization28 Oct 2025
- 2025GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlapping24 Aug 2025
- 2025BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes11 Mar 2025
- 2025MambaGlue: Fast and Robust Local Feature Matching With Mamba1 Feb 2025
- 2024QuadricsReg: Large-Scale Point Cloud Registration using Quadric Primitives4 Dec 2024
- 2024KISS-Matcher: Fast and Robust Point Cloud Registration Revisited23 Sep 2024
- 2024V2I-Calib: A Novel Calibration Approach for Collaborative Vehicle and Infrastructure LiDAR Systems14 Jul 2024
- 2024Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation18 May 2024
7 more
- 2023RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation12 Dec 2023
- 2023Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior2 Nov 2023
- 2023G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Model22 Aug 2023
- 2023Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap22 Jul 2023
- 2023(LC)2: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognition17 Apr 2023
- 2022PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention22 Aug 2022
- 2022PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry1 Jun 2022
- 2023(LC)2: LiDAR-Camera Loop Constraints For Cross-Modal Place Recognitioncited by 17
- 2024KISS-Matcher: Fast and Robust Point Cloud Registration Revisitedcited by 16
- 2023G3Reg: Pyramid Graph-based Global Registration using Gaussian Ellipsoid Modelcited by 11
- 2025BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenescited by 8
- 2023Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlapcited by 6
- 2023Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Priorcited by 3
- 2022PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attentioncited by 2
- 2022PaGO-LOAM: Robust Ground-Optimized LiDAR Odometrycited by 1
- 2024Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentationcited by 1
- 2024QuadricsReg: Large-Scale Point Cloud Registration using Quadric Primitivescited by 1
- 2026Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setupscited by 1
- 2023RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimationcited by 0
12 most cited of 17 All 17 (JSON)
- 2026PARTE: Plane-Assisted Robust Transformation Estimation for Point Cloud Registration21 Sep 2026
- 2026DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests23 Jul 2026
- 2026Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups6 Jan 2026
- 2025GroundLoc: Efficient Large-Scale Outdoor LiDAR-Only Localization28 Oct 2025
- 2025GMOR: A Lightweight Robust Point Cloud Registration Framework via Geometric Maximum Overlapping24 Aug 2025
- 2025BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes11 Mar 2025
- 2024QuadricsReg: Large-Scale Point Cloud Registration using Quadric Primitives4 Dec 2024
- 2024KISS-Matcher: Fast and Robust Point Cloud Registration Revisited23 Sep 2024
- 2024V2I-Calib: A Novel Calibration Approach for Collaborative Vehicle and Infrastructure LiDAR Systems14 Jul 2024
- 2024Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation18 May 2024
- 2023RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation12 Dec 2023
- 2023Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior2 Nov 2023
12 newest of 17 All 17 (JSON)