PointCloud Review

PointCloud

  • Registration
  • Surface Reconstruction

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Point Cloud Registration

Review

Old Method Library:

  • Probreg is a library that implements point cloud registration algorithms with probablistic model.
  • PCL: Point Cloud Library

neka-nat/probreg: Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD) (github.com) > Point Cloud Library | The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. (pointclouds.org)

DavidBoja/greedy-grid-search: [BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline (github.com)
DavidBoja/FAUST-partial: [BMVC 2022 workshop] 3D registration benchmark dataset FAUST-partial (github.com)

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SGHR

WHU-USI3DV/SGHR: [CVPR 2023] Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting (github.com)
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GeoTransformer

qinzheng93/GeoTransformer: [CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration (github.com)
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Fusion of cross-view images

3D Reconstruction through Fusion of Cross-View Images (readpaper.com)

多张卫星图片配准
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PointCloud Surface Reconstruction

MeshSet — PyMeshLab documentation
Use pymeshlab to screened Poisson surface construction

NKSR

nv-tlabs/NKSR: [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction (github.com)
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FlexiCubes

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization (FlexiCubes) (nvidia.com)

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DualMesh-UDF

Surface Extraction from Neural Unsigned Distance Fields (cong-yi.github.io)

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