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.
Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications
C++ implementation of joint skeleton-surfaceShape EM-ICP
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
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
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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