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Efficient Multi-Scale Point Cloud Registration

https://doi.org/10.2139/ssrn.4804530
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inferredcites →https://doi.org/10.1007/978-3-030-01267-0_37openalex-extracted
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_10openalex-extracted
Extended Lucas-Kanade Tracking
inferredcites →https://doi.org/10.1007/978-981-99-1439-5_108openalex-extracted
NIMLS-ICP: An ICP Variant Suitable for Substation Scenarios
inferredcites →https://doi.org/10.1016/j.cviu.2014.04.011openalex-extracted
SHOT: Unique signatures of histograms for surface and texture description
inferredcites →https://doi.org/10.1109/34.121791openalex-extracted
A method for registration of 3-D shapes
inferredcites →https://doi.org/10.1109/access.2023.3238058openalex-extracted
GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration
inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2017.701openalex-extracted
OctNet: Learning Deep 3D Representations at High Resolutions
inferredcites →https://doi.org/10.1109/cvpr.2018.00028openalex-extracted
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
inferredcites →https://doi.org/10.1109/cvpr.2019.00655openalex-extracted
L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving
inferredcites →https://doi.org/10.1109/cvpr.2019.00985openalex-extracted
PointConv: Deep Convolutional Networks on 3D Point Clouds
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01570openalex-extracted
DeepI2P: Image-to-Point Cloud Registration via Deep Classification
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01086openalex-extracted
Geometric Transformer for Fast and Robust Point Cloud Registration
inferredcites →https://doi.org/10.1109/iccv.2017.99openalex-extracted
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models
inferredcites →https://doi.org/10.1109/iccv.2019.00010openalex-extracted
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration
inferredcites →https://doi.org/10.1109/iccv.2019.00362openalex-extracted
Deep Closest Point: Learning Representations for Point Cloud Registration
inferredcites →https://doi.org/10.1109/im.2001.924423openalex-extracted
Efficient variants of the ICP algorithm
inferredcites →https://doi.org/10.1109/iros.2003.1249285openalex-extracted
The normal distributions transform: a new approach to laser scan matching
inferredcites →https://doi.org/10.1109/iros.2008.4650967openalex-extracted
Aligning point cloud views using persistent feature histograms
inferredcites →https://doi.org/10.1109/robot.2009.5152473openalex-extracted
Fast Point Feature Histograms (FPFH) for 3D registration
inferredcites →https://doi.org/10.1109/tcsvt.2022.3208859openalex-extracted
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence
inferredcites →https://doi.org/10.1109/tpami.2015.2513405openalex-extracted
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
inferredcites →https://doi.org/10.1145/3197517.3201301openalex-extracted
Point convolutional neural networks by extension operators
inferredcites →https://doi.org/10.1145/3326362openalex-extracted
Dynamic Graph CNN for Learning on Point Clouds
inferredcites →https://doi.org/10.1145/3503161.3548023openalex-extracted
You Only Hypothesize Once
inferredcites →https://doi.org/10.48550/arxiv.1612.00593openalex-extracted
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1706.02413openalex-extracted
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
inferredcites →https://doi.org/10.48550/arxiv.1811.07246openalex-extracted
PointConv: Deep Convolutional Networks on 3D Point Clouds
inferredcites →https://doi.org/10.48550/arxiv.2109.00182openalex-extracted
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
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