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SotA/Computer Vision/Point Cloud Registration/ETH (trained on 3DMatch)

Point Cloud Registration on ETH (trained on 3DMatch)

Metric: Recall (30cm, 5 degrees) (higher is better)

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Results

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#Model↕Recall (30cm, 5 degrees)▼Extra DataPaperDate↕Code
1Exhaustive Grid Search94.25No--Code
2FCGF+SC2-PCR92.85No---
3GeDi86.54NoLearning general and distinctive 3D local deep d...2021-05-21Code
4FPFH+SC2-PCR85.41No---
5YOHO-C84.85NoYou Only Hypothesize Once: Point Cloud Registrat...2021-09-01Code
6YOHO-O79.94NoYou Only Hypothesize Once: Point Cloud Registrat...2021-09-01Code
7FCGF+PointDSC77.42NoPointDSC: Robust Point Cloud Registration using ...2021-03-09Code
8SpinNet73.07NoSpinNet: Learning a General Surface Descriptor f...2020-11-24Code
9FPFH66.34No--Code
10DIP62.41NoDistinctive 3D local deep descriptors2020-09-01Code
11FPFH+PointDSC41.94NoPointDSC: Robust Point Cloud Registration using ...2021-03-09Code
12GeoTransformer4.91NoGeoTransformer: Fast and Robust Point Cloud Regi...2023-07-25Code
13GO-ICP1.54NoGo-ICP: A Globally Optimal Solution to 3D ICP Po...2016-05-11-