A list of papers and datasets about point cloud analysis (processing)
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Updated
May 19, 2023
A list of papers and datasets about point cloud analysis (processing)
A fast and robust point cloud registration library
Efficient Global Point-cloud registration
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
Simple demo of Horn's Method for rigid registration of 3D point clouds.
[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
C++ implementation of joint skeleton-surfaceShape EM-ICP
TEASER++ is a fast and certifiably-robust point cloud registration library
A tool to build pipeline which use 3DSmoothNet to generate corresponds which will be used by TEASER-plusplus to estimate alignment.
[BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
Config files for my GitHub profile.
[BMVC 2022 workshop] 3D registration benchmark dataset FAUST-partial
[MVA 24] Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
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