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2307
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Earlier: A1, A2, A3, A4, A5, A8, Only:
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2210
Point cloud compression, Transformers, Feature extraction,
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Codes, Estimation, Encoding, Pose estimation and tracking,
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Point cloud registration, Partial correspondence,
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2205
Feature extraction, Solid modeling,
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Point cloud compression, Feature extraction, Storms,
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2303
Point cloud compression, Feature extraction, Estimation,
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partial overlap registration
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2308
Feature extraction, Point cloud compression, Decoding, Task analysis,
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Point cloud registration, Low overlap, Matching pyramid, Cross-level fusion
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2406
Point cloud compression, Encoding, Transformers,
Heuristic algorithms, Noise, Adaptation models, low overlap
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Point cloud compression, Task analysis, Feature extraction,
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Point cloud compression, Image coding, Transformers, Feature extraction,
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2502
Point cloud compression, Feature extraction, Noise, Robustness,
Context modeling, Transformers, Point cloud registration,
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2502
Point cloud compression, Feature extraction,
Representation learning, Robustness, Aggregates, Task analysis,
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2502
Point cloud compression, Feature extraction, Histograms,
Probabilistic logic, Image reconstruction, Solid modeling, overlap confidence
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Graph matching, Low overlap, Point cloud registration, Robust correspondence
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Rigid registration, Forest point cloud, Optimization, LiDAR,
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Duan, C.[Cong],
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Dong, Z.[Zhen],
Tang, Y.C.[You-Chen],
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RoCalib: Large-Scale Autonomous Geo-Calibration for Roadside Lidar
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2510
Low overlap LiDAR.
Laser radar, Calibration, Sensors, Point cloud compression, Accuracy,
Semantics, Roads, Feature extraction, Autonomous vehicles,
roadside calibration
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Mei, G.F.[Guo-Feng],
Tang, H.[Hao],
Huang, X.S.[Xiao-Shui],
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Wu, Q.[Qiang],
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CVPR23(13611-13620)
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2309
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Ren, L.[Luwei],
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PEAL: Prior-embedded Explicit Attention Learning for Low-overlap
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CVPR23(17702-17711)
IEEE DOI
2309
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Mei, G.F.[Guo-Feng],
Poiesi, F.[Fabio],
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Overlap-guided Gaussian Mixture Models for Point Cloud Registration,
WACV23(4500-4509)
IEEE DOI
2302
Point cloud compression, Neural networks, Probabilistic logic,
Transformers, Minimization, Algorithms: 3D computer vision
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Mei, G.F.[Guo-Feng],
Huang, X.S.[Xiao-Shui],
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Partial Point Cloud Registration Via Soft Segmentation,
ICIP22(681-685)
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2211
Point cloud compression, Degradation, Image segmentation,
Partitioning algorithms, Registration, correspondences-free, partial overlapped
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Xu, H.[Hao],
Liu, S.C.[Shuai-Cheng],
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OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud
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ICCV21(3112-3121)
IEEE DOI
2203
Point cloud compression, Deep learning, Solid modeling, Shape,
Computational modeling,
3D from multiview and other sensors
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Lee, D.[Donghoon],
Hamsici, O.C.[Onur C.],
Feng, S.[Steven],
Sharma, P.[Prachee],
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DeepPRO: Deep Partial Point Cloud Registration of Objects,
ICCV21(5663-5672)
IEEE DOI
2203
Point cloud compression, Solid modeling, Shape, Databases,
Transforms, Real-time systems, Stereo,
Vision applications and systems
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Huang, S.Y.[Sheng-Yu],
Gojcic, Z.[Zan],
Usvyatsov, M.[Mikhail],
Wieser, A.[Andreas],
Schindler, K.[Konrad],
PREDATOR: Registration of 3D Point Clouds with Low Overlap,
CVPR21(4265-4274)
IEEE DOI
2111
Convolutional codes, Solid modeling, Image matching, Encoding
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Zodage, T.,
Chakwate, R.,
Sarode, V.,
Srivatsan, R.A.,
Choset, H.,
Correspondence Matrices are Underrated,
3DV20(603-612)
IEEE DOI
2102
Registers, Training, Task analysis,
Perturbation methods, Robustness, Matrix converters, registration,
partial point cloud
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Groß, J.[Johannes],
Ošep, A.[Aljoša],
Leibe, B.[Bastian],
AlignNet-3D:
Fast Point Cloud Registration of Partially Observed Objects,
3DV19(623-632)
IEEE DOI
1911
Laser radar, Target tracking,
State estimation, Task analysis, Motion segmentation, Sensors, Robotics
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Eckart, B.,
Kim, K.,
Jan, K.,
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data,
3DV18(747-755)
IEEE DOI
1812
expectation-maximisation algorithm, Gaussian processes,
image registration, iterative methods,
overlap estimation
BibRef
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
RGB-D Registeration, RGBD Registraion, Color and LiDAR .