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
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences	Jun 1, 2019	Graph MatchingPoint Cloud Registration	CodeCode Available
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration	May 10, 2019	Point Cloud Registration	—Unverified
Deep Closest Point: Learning Representations for Point Cloud Registration	May 8, 2019	Point Cloud RegistrationVisual Localization	CodeCode Available
Point cloud registration: matching a maximal common subset on pointclouds with noise (with 2D implementation)	Apr 16, 2019	Point Cloud Registration	—Unverified
SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences	Apr 6, 2019	Graph MatchingPoint Cloud Registration	CodeCode Available
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet	Mar 13, 2019	Computational EfficiencyPoint Cloud Registration	CodeCode Available
Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement	Mar 11, 2019	Point Cloud Registration	—Unverified
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints	Feb 5, 2019	Point Cloud Registration	—Unverified
3D point cloud registration with shape constraint	Feb 4, 2019	Change DetectionPoint Cloud Registration	—Unverified
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph	Dec 29, 2018	Autonomous DrivingPoint Cloud Registration	—Unverified
DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds	Nov 28, 2018	Point Cloud Registration	CodeCode Available
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval	Nov 25, 2018	Point Cloud RegistrationRetrieval	—Unverified
Practical optimal registration of terrestrial LiDAR scan pairs	Nov 25, 2018	Point Cloud Registration	CodeCode Available
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities	Nov 16, 2018	3D Point Cloud MatchingDescriptive	CodeCode Available
Topology-Aware Non-Rigid Point Cloud Registration	Nov 16, 2018	Dynamic ReconstructionEvent Detection	—Unverified
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search	Sep 1, 2018	Point Cloud RegistrationTranslation	—Unverified
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration	Sep 1, 2018	Autonomous NavigationGPU	—Unverified
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors	Aug 30, 2018	Point 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
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data	Aug 6, 2018	Point Cloud Registration	—Unverified
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration	Jul 25, 2018	Point Cloud Registration	CodeCode Available
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures	Jul 6, 2018	Autonomous NavigationGPU	—Unverified
Inverse Composition Discriminative Optimization for Point Cloud Registration	Jun 1, 2018	Point Cloud Registration	—Unverified
Performance Evaluation of 3D Correspondence Grouping Algorithms	Apr 6, 2018	3D Object RecognitionObject Recognition	—Unverified
Latent RANSAC	Feb 20, 2018	3D Face Alignment3D Plane Detection	CodeCode Available
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching	Feb 7, 2018	Point Cloud Registration	—Unverified
LoopSmart: Smart Visual SLAM Through Surface Loop Closure	Jan 4, 2018	Point Cloud RegistrationSimultaneous Localization and Mapping	—Unverified
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling	Dec 19, 2017	Point Cloud Registration	CodeCode Available
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences	Nov 28, 2017	Point Cloud Registration	—Unverified
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search	Oct 24, 2017	6D Pose Estimation6D Pose Estimation using RGB	—Unverified
Local-To-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors	Oct 1, 2017	Computational EfficiencyPoint Cloud Registration	—Unverified
Colored Point Cloud Registration Revisited	Oct 1, 2017	Point Cloud Registration	—Unverified
Learning Compact Geometric Features	Sep 15, 2017	Point Cloud Registration	CodeCode Available
A General Framework for Flexible Multi-Cue Photometric Point Cloud Registration	Sep 13, 2017	C++ codePoint Cloud Registration	—Unverified
Learning a 3D descriptor for cross-source point cloud registration from synthetic data	Aug 24, 2017	Data AugmentationPoint Cloud Registration	—Unverified
Discriminative Optimization: Theory and Applications to Computer Vision Problems	Jul 13, 2017	Camera Pose EstimationComputational Efficiency	—Unverified
3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder	Jul 1, 2017	Point Cloud Registration	CodeCode Available
Discriminative Optimization: Theory and Applications to Point Cloud Registration	Jul 1, 2017	Computational EfficiencyPoint Cloud Registration	—Unverified
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation	Mar 5, 2017	Object RecognitionPoint Cloud Registration	CodeCode Available
Fast Global Registration	Oct 8, 2016	Point Cloud Registration	CodeCode Available
A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures	Aug 18, 2016	graph constructionGraph Matching	—Unverified
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration	May 11, 2016	Image to Point Cloud RegistrationPoint Cloud Registration	—Unverified
NICP: Dense Normal Based Point Cloud Registration	Sep 28, 2015	Point Cloud Registration	CodeCode Available
Super 4PCS Fast Global Pointcloud Registration via Smart Indexing	Aug 23, 2014	Point Cloud Registration	CodeCode Available
Fast Rotation Search with Stereographic Projections for 3D Registration	Jun 1, 2014	3D Feature MatchingGeometric Matching	—Unverified
Robust Point Set Registration Using Gaussian Mixture Models	Dec 23, 2010	3D Point Cloud MatchingPoint Cloud Registration	CodeCode Available
Fast Point Feature Histograms (FPFH) for 3D Registration	May 12, 2009	Point 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	GeoTransformer	Recall (0.3m, 15 degrees)	95	—	Unverified
2	NgeNet	Recall (0.3m, 15 degrees)	95	—	Unverified
3	PCAM-Sparse (All post-processing)	Recall (0.3m, 15 degrees)	92.4	—	Unverified
4	DGR (RE (all), TE(all) are reported in PCAM)	Recall (0.3m, 15 degrees)	91.3	—	Unverified
5	PCAM-Soft (All post-processing)	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	SpinNet	Success Rate	81.44	—	Unverified
10	YOHO-O	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	FCGF	Recall (0.6m, 5 degrees)	98.2	—	Unverified
3	DGR + ICP (RE (all), TE(all) are reported in PCAM)	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