SOTAVerified

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

Showing 301–350 of 447 papers

TitleStatusHype
A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments—0
SiLK: Simple Learned Keypoints—0
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation—0
Rethinking Rotation Invariance with Point Cloud Registration—0
DeepMapping2: Self-Supervised Large-Scale LiDAR Map OptimizationCode0
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration—0
Point Cloud Registration of non-rigid objects in sparse 3D Scans with applications in Mixed Reality—0
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels—0
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes—0
GMF: General Multimodal Fusion Framework for Correspondence Outlier RejectionCode0
Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant RepresentationsCode0
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences—0
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking—0
Global Consistent Point Cloud Registration Based on Lie-algebraic Cohomology—0
Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets—0
Learning to Register Unbalanced Point Pairs—0
ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs—0
Learning Dense Features for Point Cloud Registration Using a Graph Attention Network—0
Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors—0
Spotlights: Probing Shapes from Spherical ViewpointsCode0
RCP: Recurrent Closest Point for Scene Flow Estimation on 3D Point Clouds—0
A Novel Augmented Reality Ultrasound Framework Using an RGB-D Camera and a 3D-printed Marker—0
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism—0
Outlier-Robust Geometric Perception: A Novel Thresholding-Based Estimator with Intra-Class Variance MaximizationCode0
MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World—0
VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration—0
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration—0
A multi-organ point cloud registration algorithm for abdominal CT registration—0
Translation Invariant Global Estimation of Heading Angle Using Sinogram of LiDAR Point Cloud—0
TEScalib: Targetless Extrinsic Self-Calibration of LiDAR and Stereo Camera for Automated Driving Vehicles with Uncertainty Analysis—0
Deep Bayesian ICP Covariance Estimation—0
Estimation of Looming from LiDAR—0
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration—0
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation—0
A multi-organ point cloud registration algorithm for abdominal CT registration—0
3D Point Cloud Registration with Learning-based Matching AlgorithmCode0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
Multiview point cloud registration with anisotropic and space-varying localization noise—0
LiDAR Point--to--point Correspondences for Rigorous Registration of Kinematic Scanning in Dynamic Networks—0
RCP: Recurrent Closest Point for Point CloudCode0
Deterministic Point Cloud Registration via Novel Transformation Decomposition—0
SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration—0
COTReg:Coupled Optimal Transport based Point Cloud Registration—0
GenReg: Deep Generative Method for Fast Point Cloud Registration—0
What Stops Learning-based 3D Registration from Working in the Real World?—0
DFC: Deep Feature Consistency for Robust Point Cloud Registration—0
Practical, Fast and Robust Point Cloud Registration for 3D Scene Stitching and Object Localization—0
TriVoC: Efficient Voting-based Consensus Maximization for Robust Point Cloud Registration with Extreme Outlier Ratios—0
End-to-end Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration—0
DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier RatiosCode0
Show:102550
← PrevPage 7 of 9Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Exhaustive Grid SearchRecall (30cm, 5 degrees)94.25—Unverified
2FCGF+SC2-PCRRecall (30cm, 5 degrees)92.85—Unverified
3FPFH+SC2-PCRRecall (30cm, 5 degrees)85.41—Unverified
4YOHO-CRecall (30cm, 5 degrees)84.85—Unverified
5YOHO-ORecall (30cm, 5 degrees)79.94—Unverified
6FCGF+PointDSCRecall (30cm, 5 degrees)77.42—Unverified
7FPFH+PointDSCRecall (30cm, 5 degrees)41.94—Unverified
8GeoTransformerRecall (30cm, 5 degrees)4.91—Unverified
9GO-ICPRecall (30cm, 5 degrees)1.54—Unverified
10GeDiFeature Matching Recall0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1IMFNetFeature Matching Recall98.6—Unverified
2MS-SVConvFeature Matching Recall98.4—Unverified
3GeDi (no code published as of May 27 2021)Feature Matching Recall97.9—Unverified
4SpinNet (no code published as of Dec 15 2020)Feature Matching Recall97.6—Unverified
5LMVDFeature Matching Recall97.5—Unverified
6DIP + Point-TnTFeature Matching Recall96.8—Unverified
7D3Feat-PredFeature Matching Recall95.8—Unverified
8D3Feat-randFeature Matching Recall95.3—Unverified
9DIPFeature Matching Recall94.8—Unverified
103DSmoothNetFeature Matching Recall94.7—Unverified
#ModelMetricClaimedVerifiedStatus
1NgeNetRecall (0.3m, 15 degrees)95—Unverified
2GeoTransformerRecall (0.3m, 15 degrees)95—Unverified
3PCAM-Sparse (All post-processing)Recall (0.3m, 15 degrees)92.4—Unverified
4PCAM-Soft (All post-processing)Recall (0.3m, 15 degrees)91.3—Unverified
5DGR (RE (all), TE(all) are reported in PCAM)Recall (0.3m, 15 degrees)91.3—Unverified
6Exhaustive Grid SearchRecall (0.3m, 15 degrees)84.11—Unverified
7RANSAC-2MRecall (0.3m, 15 degrees)66.1—Unverified
8FGRRecall (0.3m, 15 degrees)42.7—Unverified
9Go-ICPRecall (0.3m, 15 degrees)22.9—Unverified
10Super4PCSRecall (0.3m, 15 degrees)21.6—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiSuccess Rate98.92—Unverified
2FCGF+SC2-PCRSuccess Rate97.66—Unverified
3FCGF+PointDSCSuccess Rate96.76—Unverified
4Exhaustive Grid SearchSuccess Rate94.95—Unverified
5FPFH+PointDSCSuccess Rate94.05—Unverified
6DIPSuccess Rate93.51—Unverified
7Greedy Grid SearchSuccess Rate90.27—Unverified
8YOHO-CSuccess Rate82.16—Unverified
9YOHO-OSuccess Rate81.44—Unverified
10SpinNetSuccess Rate81.44—Unverified
#ModelMetricClaimedVerifiedStatus
1CoFFRecall ( correspondence RMSE below 0.2)81.6—Unverified
2GeoTransformer - P2PNetRecall ( correspondence RMSE below 0.2)74—Unverified
3NgeNetRecall ( correspondence RMSE below 0.2)71.9—Unverified
4REGTRRecall ( correspondence RMSE below 0.2)64.8—Unverified
5Predator-1kRecall ( correspondence RMSE below 0.2)62.5—Unverified
6Predator-5kRecall ( correspondence RMSE below 0.2)59.8—Unverified
7PCAM (reported in REGTR)Recall ( correspondence RMSE below 0.2)54.9—Unverified
8DGR (reported in REGTR)Recall ( correspondence RMSE below 0.2)48.7—Unverified
9FCGF (reported in PREDATOR)Recall ( correspondence RMSE below 0.2)40.1—Unverified
10D3Feat (reported in PREDATOR)Recall ( correspondence RMSE below 0.2)37.2—Unverified
#ModelMetricClaimedVerifiedStatus
1NgeNetRecall ( correspondence RMSE below 0.2)92.9—Unverified
2REGTRRecall ( correspondence RMSE below 0.2)92—Unverified
3Predator-1kRecall ( correspondence RMSE below 0.2)90.5—Unverified
4Predator-5kRecall ( correspondence RMSE below 0.2)89—Unverified
5PCAM (reported in REGTR)Recall ( correspondence RMSE below 0.2)85.5—Unverified
6DGR (reported in REGTR)Recall ( correspondence RMSE below 0.2)85.3—Unverified
7FCGF (reported in PREDATOR)Recall ( correspondence RMSE below 0.2)85.1—Unverified
8D3Feat (reported in PREDATOR)Recall ( correspondence RMSE below 0.2)81.6—Unverified
93DSN (reported in PREDATOR)Recall ( correspondence RMSE below 0.2)78.4—Unverified
10Predator-NRRecall ( correspondence RMSE below 0.2)62.7—Unverified
#ModelMetricClaimedVerifiedStatus
1GeoTransformerRecall (0.6m, 5 degrees)99.5—Unverified
2DGR + ICP (RE (all), TE(all) are reported in PCAM)Recall (0.6m, 5 degrees)98.2—Unverified
3FCGFRecall (0.6m, 5 degrees)98.2—Unverified
4PCAM-soft + ICPRecall (0.6m, 5 degrees)98—Unverified
5PCAM-Sparse + ICPRecall (0.6m, 5 degrees)97.4—Unverified
6PCAM - SoftRecall (0.6m, 5 degrees)97.2—Unverified
7DGR (RE (all), TE(all) are reported in PCAM)Recall (0.6m, 5 degrees)96.9—Unverified
8PCAM-SparseRecall (0.6m, 5 degrees)96.5—Unverified
9Exhaustive Grid SearchRecall (0.6m, 5 degrees)94.59—Unverified
10RANSACRecall (0.6m, 5 degrees)34.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Greedy Grid SearchRecall (3cm, 10 degrees)92.81—Unverified
2GeoTransformerRecall (3cm, 10 degrees)56.15—Unverified
3DIPRecall (3cm, 10 degrees)54.81—Unverified
4FCGF + PointDSCRecall (3cm, 10 degrees)47.85—Unverified
5SpinNetRecall (3cm, 10 degrees)42.46—Unverified
6FCGF + YOHO-CRecall (3cm, 10 degrees)29.18—Unverified
7FCGF + YOHO-ORecall (3cm, 10 degrees)18.91—Unverified
8FPFH-8MRecall (3cm, 10 degrees)9.51—Unverified
#ModelMetricClaimedVerifiedStatus
1FPFH+SC2-PCR Recall (3cm, 10 degrees)99.88—Unverified
2GeDiRecall (3cm, 10 degrees)99.64—Unverified
3Exhaustive Grid SearchRecall (3cm, 10 degrees)99.47—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)98.52—Unverified
5GeoTransformerRecall (3cm, 10 degrees)63.94—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1FPFH+SC2-PCRRecall (3cm, 10 degrees)38.85—Unverified
2Exhaustive Grid SearchRecall (3cm, 10 degrees)37.06—Unverified
3FCGF+SC2-PCRRecall (3cm, 10 degrees)17.8—Unverified
4GeDiRecall (3cm, 10 degrees)8.7—Unverified
5GeoTransformerRecall (3cm, 10 degrees)2.64—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1Exhaustive Grid SearchRecall (3cm, 10 degrees)88.06—Unverified
2FPFH+SC2-PCRRecall (3cm, 10 degrees)84.7—Unverified
3GeDiRecall (3cm, 10 degrees)75.4—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)63—Unverified
5GeoTransformerRecall (3cm, 10 degrees)22.07—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiRecall (3cm, 10 degrees)99.76—Unverified
2Exhaustive Grid SearchRecall (3cm, 10 degrees)99.64—Unverified
3FPFH+SC2-PCRRecall (3cm, 10 degrees)99.64—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)98.46—Unverified
5GeoTransformerRecall (3cm, 10 degrees)64.12—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiRecall (3cm, 10 degrees)99.41—Unverified
2FCGF+SC2-PCR Recall (3cm, 10 degrees)85.77—Unverified
3Exhaustive Grid SearchRecall (3cm, 10 degrees)78—Unverified
4FPFH+SC2-PCRRecall (3cm, 10 degrees)75.21—Unverified
5GeoTransformerRecall (3cm, 10 degrees)47.75—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiRecall (3cm, 10 degrees)99.94—Unverified
2Exhaustive Grid SearchRecall (3cm, 10 degrees)97.92—Unverified
3FPFH+SC2-PCRRecall (3cm, 10 degrees)94.54—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)91.93—Unverified
5GeoTransformerRecall (3cm, 10 degrees)55.93—Unverified
6GO-ICPRecall (3cm, 10 degrees)0.06—Unverified
#ModelMetricClaimedVerifiedStatus
1FPFH+SC2-PCRRecall (3cm, 10 degrees)99.76—Unverified
2Exhaustive Grid SearchRecall (3cm, 10 degrees)99.7—Unverified
3GeDiRecall (3cm, 10 degrees)99.47—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)98.34—Unverified
5GeoTransformerRecall (3cm, 10 degrees)66.25—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiRecall (3cm, 10 degrees)99.7—Unverified
2FPFH+SC2-PCRRecall (3cm, 10 degrees)99.58—Unverified
3Exhaustive Grid SearchRecall (3cm, 10 degrees)98.81—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)98.22—Unverified
5GeoTransformerRecall (3cm, 10 degrees)64.18—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1Exhaustive Grid SearchRecall (3cm, 10 degrees)99.82—Unverified
2GeDiRecall (3cm, 10 degrees)99.7—Unverified
3FPFH+SC2-PCRRecall (3cm, 10 degrees)99.53—Unverified
4FCGF+SC2-PCRRecall (3cm, 10 degrees)98.34—Unverified
5GeoTransformerRecall (3cm, 10 degrees)64.29—Unverified
6GO-ICPRecall (3cm, 10 degrees)0—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiSuccess Rate99.82—Unverified
2D3Feat-predSuccess Rate99.81—Unverified
3SpinNetSuccess Rate99.1—Unverified
4DIPSuccess Rate97.3—Unverified
5FCGFSuccess Rate96.57—Unverified
63DFeat-NetSuccess Rate95.97—Unverified
#ModelMetricClaimedVerifiedStatus
1UMERegRobustRR@(1.5,0.3)81.1—Unverified
2GeoTransformerRR@(1.5,0.3)78.5—Unverified
3CoFiNetRR@(1.5,0.3)62.5—Unverified
4PREDATORRR@(1.5,0.3)41.6—Unverified
5GCLRR@(1.5,0.3)40.1—Unverified
6FCGFRR@(1.5,0.3)11.6—Unverified
#ModelMetricClaimedVerifiedStatus
1GeDiRecall0.92—Unverified
2SpinNetRecall0.85—Unverified
3D3Feat-predRecall0.63—Unverified
4FCGFRecall0.33—Unverified
5FPFHRecall0.14—Unverified
#ModelMetricClaimedVerifiedStatus
1GCL+KPConvmRR @ Normal Criterion (1.5°&0.3m)88.8—Unverified
2GCL+ConvmRR @ Normal Criterion (1.5°&0.3m)83.5—Unverified
3Predator+APR(a)mRR @ Normal Criterion (1.5°&0.3m)78.2—Unverified
4FCGF+APR(s)mRR @ Normal Criterion (1.5°&0.3m)62.9—Unverified
#ModelMetricClaimedVerifiedStatus
1GCL+KPConvmRR @ Normal Criterion (1.5°&0.3m)71.5—Unverified
2GCL+ConvmRR @ Normal Criterion (1.5°&0.3m)70.2—Unverified
3FCGF+APR(s)mRR @ Normal Criterion (1.5°&0.3m)62.9—Unverified
4Predator+APR(a)mRR @ Normal Criterion (1.5°&0.3m)52.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CoFFRecall ( correspondence RMSE below 0.2)78.7—Unverified
2GeoTransformerRecall ( correspondence RMSE below 0.2)73.4—Unverified
3PredatorRecall ( correspondence RMSE below 0.2)63.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SGAlignerCD0.01—Unverified
2SG-PGMCD0.01—Unverified