A list of papers about point clouds registration
A curated list of papers about point cloud registration inspired by awesome point cloud analysis
You will be very welcome to make PR and contribute!! :smile:
lf.
: local features for registration |
corr.
: register with putative correspondences |
est.
: direct estimation |
dat.
: datasets |
opt.
: optimization |
oth.
: other
:fire: code is available & stars >= 100 | :star: citation >= 50
est.
oth.
] :fire: :star:[CGF] Sparse Iterative Closest Point. [code] [est.
opt.
] :fire: :star:
[IJRR] Challenging data sets for point cloud registration algorithms. [code] [dat.
] :star:
[CVPR] 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. [code] [lf.
dat.
] :fire: :star:
[CVPR] 3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder. [code] [est.
]
[ICCV] Learning Compact Geometric Features. [code] [est.
dat.
]
[ECCV] 3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration [code] [lf.
]
[ECCV] PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors [lf.
]
[CVPR] PPFNet: Global Context Aware Local Features for Robust 3D Point Matching [lf.
]
[CVPR] End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching [lf.
]
[CVPR] Inverse Composition Discriminative Optimization for Point Cloud Registration [opt.
]
[CVPR] PointNetLK: Robust & Efficient Point Cloud Registration using PointNet. [code] [est.
] :fire:
[CVPR] DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds. [code] [est.
opt.
] :fire:
[CVPR] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities [code] [lf.
]
[CVPR] L3 -Net: Towards Learning based LiDAR Localization for Autonomous Driving [lf.
est.
]
[CVPR] SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences [code] [ est.
opt.
]
[CVPR] 3D Local Features for Direct Pairwise Registration [lf.
est.
]
[CVPR] GFrames: Gradient-Based Local Reference Frame
for 3D Shape Matching [oth.
]
[CVPR] FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization [code] [opt.
oth.
]
[ICCV] DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration [est.
lf.
]
[ICCV] Deep Closest Point: Learning Representations for Point Cloud Registration [code] [est.
]
[ICCV] USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. [code] [lf.
]
[ICCV] Learning an Effective Equivariant 3D Descriptor Without Supervision. [lf.
]
[ICRA] Robust low-overlap 3-D point cloud registration for outlier rejection [est.
opt.
corr.
oth.
]
[ICRA] CELLO-3D: Estimating the Covariance of ICP in the Real World [est.
opt.
oth.
]
[NeurIPS] PRNet: Self-Supervised Learning for Partial-to-Partial Registration [est.
]
[TOG] A Symmetric Objective Function for ICP [est.
opt.
]
[ARXIV] 3DRegNet: A Deep Neural Network for 3D Point Registration [est.
]
[ARXIV] Iterative Matching Point [est.
]
[ARXIV] PCRNet: Point Cloud Registration Network using PointNet Encoding [code] [est.
]
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]lf.
]corr.
]corr.
]lf.
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]corr.
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]est.
]opt.
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]est.
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]est.
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]corr.
opt.
]est.
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]