Point Cloud Registration

Point Cloud Registration is a fundamental problem in 3D computer vision and photogrammetry. Given several sets of points in different coordinate systems, the aim of registration is to find the transformation that best aligns all of them into a common coordinate system. Point Cloud Registration plays a significant role in many vision applications such as 3D model reconstruction, cultural heritage management, landslide monitoring and solar energy analysis.

Source: Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration

Papers

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Showing 401–447 of 447 papers

Title	Date	Tasks	Status
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors	Aug 30, 2018	Point Cloud Registration	CodeCode Available
Fast Point Feature Histograms (FPFH) for 3D Registration	May 12, 2009	Point Cloud Registration	CodeCode Available
Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior	Nov 2, 2023	Point Cloud Registration	CodeCode Available
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans	Oct 23, 2019	Clusteringobject-detection	CodeCode Available
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations	Jan 6, 2024	Point Cloud RegistrationPosition	CodeCode Available
Fast Global Registration	Oct 8, 2016	Point Cloud Registration	CodeCode Available
3D Point Cloud Registration with Learning-based Matching Algorithm	Feb 4, 2022	Point Cloud Registration	CodeCode Available
RCP: Recurrent Closest Point for Point Cloud	Jan 1, 2022	Motion EstimationPoint Cloud Registration	CodeCode Available
Deep Closest Point: Learning Representations for Point Cloud Registration	May 8, 2019	Point Cloud RegistrationVisual Localization	CodeCode Available
A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching	Jul 3, 2023	Point Cloud RegistrationRepresentation Learning	CodeCode Available
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet	Mar 13, 2019	Computational EfficiencyPoint Cloud Registration	CodeCode Available
Correspondence Free Multivector Cloud Registration using Conformal Geometric Algebra	Jun 17, 2024	Point Cloud RegistrationTranslation	CodeCode Available
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization	Dec 10, 2019	Image ClassificationInstance Segmentation	CodeCode Available
Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms	Feb 14, 2023	Point Cloud Registration	CodeCode Available
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods	Dec 21, 2023	Domain AdaptationPoint Cloud Registration	CodeCode Available
Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography	Apr 26, 2023	DiagnosticPoint Cloud Registration	CodeCode Available
Adaptive Multi-step Refinement Network for Robust Point Cloud Registration	Dec 5, 2023	DenoisingPoint Cloud Registration	CodeCode Available
NICP: Dense Normal Based Point Cloud Registration	Sep 28, 2015	Point Cloud Registration	CodeCode Available
Registration of algebraic varieties using Riemannian optimization	Jan 16, 2024	DenoisingPoint Cloud Registration	CodeCode Available
NeRF-Supervised Feature Point Detection and Description	Mar 13, 2024	Homography EstimationNeRF	CodeCode Available
More Informed Random Sample Consensus	Nov 18, 2020	Image StitchingPoint Cloud Registration	CodeCode Available
Representing Point Clouds with Generative Conditional Invertible Flow Networks	Oct 7, 2020	Point Cloud Registration	CodeCode Available
Spotlights: Probing Shapes from Spherical Viewpoints	May 25, 2022	Point Cloud CompletionPoint Cloud Registration	CodeCode Available
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling	Dec 19, 2017	Point Cloud Registration	CodeCode Available
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects	Oct 10, 2019	3D Pose EstimationMotion Estimation	CodeCode Available
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds	Nov 28, 2018	Point Cloud Registration	CodeCode Available
Super 4PCS Fast Global Pointcloud Registration via Smart Indexing	Aug 23, 2014	Point Cloud Registration	CodeCode Available
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration	Nov 4, 2024	Contrastive LearningPoint Cloud Registration	CodeCode Available
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization	Dec 13, 2022	Point Cloud Registration	CodeCode Available
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations	Oct 5, 2022	Point Cloud Registration	CodeCode Available
A denoised Mean Teacher for domain adaptive point cloud registration	Jun 26, 2023	Computational EfficiencyDenoising	CodeCode Available
Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration	May 6, 2025	graph constructionPoint Cloud Registration	CodeCode Available
Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations	Sep 10, 2024	BenchmarkingPoint Cloud Registration	CodeCode Available
LoGDesc: Local geometric features aggregation for robust point cloud registration	Oct 3, 2024	Point Cloud Registration	CodeCode Available
Learning Compact Geometric Features	Sep 15, 2017	Point Cloud Registration	CodeCode Available
Robust Point Set Registration Using Gaussian Mixture Models	Dec 23, 2010	3D Point Cloud MatchingPoint Cloud Registration	CodeCode Available
DeepBBS: Deep Best Buddies for Point Cloud Registration	Oct 6, 2021	Point Cloud Registration	CodeCode Available
Latent RANSAC	Feb 20, 2018	3D Face Alignment3D Plane Detection	CodeCode Available
kNN-Res: Residual Neural Network with kNN-Graph coherence for point cloud registration	Mar 31, 2023	Point Cloud Registration	CodeCode Available
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration	Oct 23, 2019	Computational EfficiencyPoint Cloud Registration	CodeCode Available
Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration	Aug 12, 2018	Point Cloud Registration	CodeCode Available
Incremental Multiview Point Cloud Registration	Jul 6, 2024	3D ReconstructionPoint Cloud Registration	CodeCode Available
Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance Maximization	Apr 4, 2022	Point Cloud Registration	CodeCode Available
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder	Jul 1, 2017	Point Cloud Registration	CodeCode Available
DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios	Oct 11, 2021	Point Cloud Registration	CodeCode Available
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences	Apr 6, 2019	Graph MatchingPoint Cloud Registration	CodeCode Available
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences	Jun 1, 2019	Graph MatchingPoint Cloud Registration	CodeCode Available

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All datasets ETH (trained on 3DMatch)3DMatch Benchmark 3DMatch (at least 30% overlapped - FCGF setting)KITTI (trained on 3DMatch)3DLoMatch (10-30% overlap)3DMatch (at least 30% overlapped - sample 5k interest points)KITTI (FCGF setting)FPv1 FP-O-E FP-O-H FP-O-M FP-R-E

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Exhaustive Grid Search	Recall (30cm, 5 degrees)	94.25	—	Unverified
2	FCGF+SC2-PCR	Recall (30cm, 5 degrees)	92.85	—	Unverified
3	FPFH+SC2-PCR	Recall (30cm, 5 degrees)	85.41	—	Unverified
4	YOHO-C	Recall (30cm, 5 degrees)	84.85	—	Unverified
5	YOHO-O	Recall (30cm, 5 degrees)	79.94	—	Unverified
6	FCGF+PointDSC	Recall (30cm, 5 degrees)	77.42	—	Unverified
7	FPFH+PointDSC	Recall (30cm, 5 degrees)	41.94	—	Unverified
8	GeoTransformer	Recall (30cm, 5 degrees)	4.91	—	Unverified
9	GO-ICP	Recall (30cm, 5 degrees)	1.54	—	Unverified
10	GeDi	Feature Matching Recall	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IMFNet	Feature Matching Recall	98.6	—	Unverified
2	MS-SVConv	Feature Matching Recall	98.4	—	Unverified
3	GeDi (no code published as of May 27 2021)	Feature Matching Recall	97.9	—	Unverified
4	SpinNet (no code published as of Dec 15 2020)	Feature Matching Recall	97.6	—	Unverified
5	LMVD	Feature Matching Recall	97.5	—	Unverified
6	DIP + Point-TnT	Feature Matching Recall	96.8	—	Unverified
7	D3Feat-Pred	Feature Matching Recall	95.8	—	Unverified
8	D3Feat-rand	Feature Matching Recall	95.3	—	Unverified
9	DIP	Feature Matching Recall	94.8	—	Unverified
10	3DSmoothNet	Feature Matching Recall	94.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NgeNet	Recall (0.3m, 15 degrees)	95	—	Unverified
2	GeoTransformer	Recall (0.3m, 15 degrees)	95	—	Unverified
3	PCAM-Sparse (All post-processing)	Recall (0.3m, 15 degrees)	92.4	—	Unverified
4	PCAM-Soft (All post-processing)	Recall (0.3m, 15 degrees)	91.3	—	Unverified
5	DGR (RE (all), TE(all) are reported in PCAM)	Recall (0.3m, 15 degrees)	91.3	—	Unverified
6	Exhaustive Grid Search	Recall (0.3m, 15 degrees)	84.11	—	Unverified
7	RANSAC-2M	Recall (0.3m, 15 degrees)	66.1	—	Unverified
8	FGR	Recall (0.3m, 15 degrees)	42.7	—	Unverified
9	Go-ICP	Recall (0.3m, 15 degrees)	22.9	—	Unverified
10	Super4PCS	Recall (0.3m, 15 degrees)	21.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Success Rate	98.92	—	Unverified
2	FCGF+SC2-PCR	Success Rate	97.66	—	Unverified
3	FCGF+PointDSC	Success Rate	96.76	—	Unverified
4	Exhaustive Grid Search	Success Rate	94.95	—	Unverified
5	FPFH+PointDSC	Success Rate	94.05	—	Unverified
6	DIP	Success Rate	93.51	—	Unverified
7	Greedy Grid Search	Success Rate	90.27	—	Unverified
8	YOHO-C	Success Rate	82.16	—	Unverified
9	YOHO-O	Success Rate	81.44	—	Unverified
10	SpinNet	Success Rate	81.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoFF	Recall ( correspondence RMSE below 0.2)	81.6	—	Unverified
2	GeoTransformer - P2PNet	Recall ( correspondence RMSE below 0.2)	74	—	Unverified
3	NgeNet	Recall ( correspondence RMSE below 0.2)	71.9	—	Unverified
4	REGTR	Recall ( correspondence RMSE below 0.2)	64.8	—	Unverified
5	Predator-1k	Recall ( correspondence RMSE below 0.2)	62.5	—	Unverified
6	Predator-5k	Recall ( correspondence RMSE below 0.2)	59.8	—	Unverified
7	PCAM (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	54.9	—	Unverified
8	DGR (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	48.7	—	Unverified
9	FCGF (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	40.1	—	Unverified
10	D3Feat (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	37.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NgeNet	Recall ( correspondence RMSE below 0.2)	92.9	—	Unverified
2	REGTR	Recall ( correspondence RMSE below 0.2)	92	—	Unverified
3	Predator-1k	Recall ( correspondence RMSE below 0.2)	90.5	—	Unverified
4	Predator-5k	Recall ( correspondence RMSE below 0.2)	89	—	Unverified
5	PCAM (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	85.5	—	Unverified
6	DGR (reported in REGTR)	Recall ( correspondence RMSE below 0.2)	85.3	—	Unverified
7	FCGF (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	85.1	—	Unverified
8	D3Feat (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	81.6	—	Unverified
9	3DSN (reported in PREDATOR)	Recall ( correspondence RMSE below 0.2)	78.4	—	Unverified
10	Predator-NR	Recall ( correspondence RMSE below 0.2)	62.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeoTransformer	Recall (0.6m, 5 degrees)	99.5	—	Unverified
2	DGR + ICP (RE (all), TE(all) are reported in PCAM)	Recall (0.6m, 5 degrees)	98.2	—	Unverified
3	FCGF	Recall (0.6m, 5 degrees)	98.2	—	Unverified
4	PCAM-soft + ICP	Recall (0.6m, 5 degrees)	98	—	Unverified
5	PCAM-Sparse + ICP	Recall (0.6m, 5 degrees)	97.4	—	Unverified
6	PCAM - Soft	Recall (0.6m, 5 degrees)	97.2	—	Unverified
7	DGR (RE (all), TE(all) are reported in PCAM)	Recall (0.6m, 5 degrees)	96.9	—	Unverified
8	PCAM-Sparse	Recall (0.6m, 5 degrees)	96.5	—	Unverified
9	Exhaustive Grid Search	Recall (0.6m, 5 degrees)	94.59	—	Unverified
10	RANSAC	Recall (0.6m, 5 degrees)	34.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Greedy Grid Search	Recall (3cm, 10 degrees)	92.81	—	Unverified
2	GeoTransformer	Recall (3cm, 10 degrees)	56.15	—	Unverified
3	DIP	Recall (3cm, 10 degrees)	54.81	—	Unverified
4	FCGF + PointDSC	Recall (3cm, 10 degrees)	47.85	—	Unverified
5	SpinNet	Recall (3cm, 10 degrees)	42.46	—	Unverified
6	FCGF + YOHO-C	Recall (3cm, 10 degrees)	29.18	—	Unverified
7	FCGF + YOHO-O	Recall (3cm, 10 degrees)	18.91	—	Unverified
8	FPFH-8M	Recall (3cm, 10 degrees)	9.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.88	—	Unverified
2	GeDi	Recall (3cm, 10 degrees)	99.64	—	Unverified
3	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.47	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.52	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	63.94	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	38.85	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	37.06	—	Unverified
3	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	17.8	—	Unverified
4	GeDi	Recall (3cm, 10 degrees)	8.7	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	2.64	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Exhaustive Grid Search	Recall (3cm, 10 degrees)	88.06	—	Unverified
2	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	84.7	—	Unverified
3	GeDi	Recall (3cm, 10 degrees)	75.4	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	63	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	22.07	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.76	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.64	—	Unverified
3	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.64	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.46	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	64.12	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.41	—	Unverified
2	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	85.77	—	Unverified
3	Exhaustive Grid Search	Recall (3cm, 10 degrees)	78	—	Unverified
4	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	75.21	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	47.75	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.94	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	97.92	—	Unverified
3	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	94.54	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	91.93	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	55.93	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.76	—	Unverified
2	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.7	—	Unverified
3	GeDi	Recall (3cm, 10 degrees)	99.47	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.34	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	66.25	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall (3cm, 10 degrees)	99.7	—	Unverified
2	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.58	—	Unverified
3	Exhaustive Grid Search	Recall (3cm, 10 degrees)	98.81	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.22	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	64.18	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Exhaustive Grid Search	Recall (3cm, 10 degrees)	99.82	—	Unverified
2	GeDi	Recall (3cm, 10 degrees)	99.7	—	Unverified
3	FPFH+SC2-PCR	Recall (3cm, 10 degrees)	99.53	—	Unverified
4	FCGF+SC2-PCR	Recall (3cm, 10 degrees)	98.34	—	Unverified
5	GeoTransformer	Recall (3cm, 10 degrees)	64.29	—	Unverified
6	GO-ICP	Recall (3cm, 10 degrees)	0	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Success Rate	99.82	—	Unverified
2	D3Feat-pred	Success Rate	99.81	—	Unverified
3	SpinNet	Success Rate	99.1	—	Unverified
4	DIP	Success Rate	97.3	—	Unverified
5	FCGF	Success Rate	96.57	—	Unverified
6	3DFeat-Net	Success Rate	95.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UMERegRobust	RR@(1.5,0.3)	81.1	—	Unverified
2	GeoTransformer	RR@(1.5,0.3)	78.5	—	Unverified
3	CoFiNet	RR@(1.5,0.3)	62.5	—	Unverified
4	PREDATOR	RR@(1.5,0.3)	41.6	—	Unverified
5	GCL	RR@(1.5,0.3)	40.1	—	Unverified
6	FCGF	RR@(1.5,0.3)	11.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GeDi	Recall	0.92	—	Unverified
2	SpinNet	Recall	0.85	—	Unverified
3	D3Feat-pred	Recall	0.63	—	Unverified
4	FCGF	Recall	0.33	—	Unverified
5	FPFH	Recall	0.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GCL+KPConv	mRR @ Normal Criterion (1.5°&0.3m)	88.8	—	Unverified
2	GCL+Conv	mRR @ Normal Criterion (1.5°&0.3m)	83.5	—	Unverified
3	Predator+APR(a)	mRR @ Normal Criterion (1.5°&0.3m)	78.2	—	Unverified
4	FCGF+APR(s)	mRR @ Normal Criterion (1.5°&0.3m)	62.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GCL+KPConv	mRR @ Normal Criterion (1.5°&0.3m)	71.5	—	Unverified
2	GCL+Conv	mRR @ Normal Criterion (1.5°&0.3m)	70.2	—	Unverified
3	FCGF+APR(s)	mRR @ Normal Criterion (1.5°&0.3m)	62.9	—	Unverified
4	Predator+APR(a)	mRR @ Normal Criterion (1.5°&0.3m)	52.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CoFF	Recall ( correspondence RMSE below 0.2)	78.7	—	Unverified
2	GeoTransformer	Recall ( correspondence RMSE below 0.2)	73.4	—	Unverified
3	Predator	Recall ( correspondence RMSE below 0.2)	63.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SGAligner	CD	0.01	—	Unverified
2	SG-PGM	CD	0.01	—	Unverified