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Models/GO-ICP

GO-ICP

Reported on 22 benchmarks across 2 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision22 results

  • Point Cloud RegistrationonETH (trained on 3DMatch)
    Recall (30cm, 5 degrees)· 2016-05-11
    1.54
    best: 94.25 (Exhaustive Grid Search)
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • Point Cloud RegistrationonFP-R-M
    RRE (degrees)· 2016-05-11
    1.87
    best: 2.26 (GeoTransformer)
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • Point Cloud RegistrationonFP-R-M
    RTE (cm)· 2016-05-11
    2.71
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • Point Cloud RegistrationonFP-R-M
    Recall (3cm, 10 degrees)· 2016-05-11
    0.06
    best: 99.94 (GeDi)
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • 3D Point Cloud InterpolationonETH (trained on 3DMatch)
    Recall (30cm, 5 degrees)· 2016-05-11
    1.54
    best: 94.25 (Exhaustive Grid Search)
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • 3D Point Cloud InterpolationonFP-R-M
    RRE (degrees)· 2016-05-11
    1.87
    best: 2.26 (GeoTransformer)
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • 3D Point Cloud InterpolationonFP-R-M
    RTE (cm)· 2016-05-11
    2.71
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • 3D Point Cloud InterpolationonFP-R-M
    Recall (3cm, 10 degrees)· 2016-05-11
    0.06
    best: 99.94 (GeDi)
    SOTA
    Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationarXiv:1605.03344
  • Point Cloud RegistrationonFP-R-E
    Recall (3cm, 10 degrees)
    0
    best: 99.76 (GeDi)
  • Point Cloud RegistrationonFP-R-H
    Recall (3cm, 10 degrees)
    0
    best: 99.41 (GeDi)
  • Point Cloud RegistrationonFP-O-M
    Recall (3cm, 10 degrees)
    0
    best: 88.06 (Exhaustive Grid Search)
  • Point Cloud RegistrationonFP-O-E
    Recall (3cm, 10 degrees)
    0
    best: 99.88 (FPFH+SC2-PCR )
  • Point Cloud RegistrationonFP-T-M
    Recall (3cm, 10 degrees)
    0
    best: 99.82 (Exhaustive Grid Search)
  • Point Cloud RegistrationonFP-T-E
    Recall (3cm, 10 degrees)
    0
    best: 99.76 (FPFH+SC2-PCR)
  • Point Cloud RegistrationonFP-O-H
    Recall (3cm, 10 degrees)
    0
    best: 38.85 (FPFH+SC2-PCR)
  • 3D Point Cloud InterpolationonFP-R-E
    Recall (3cm, 10 degrees)
    0
    best: 99.76 (GeDi)
  • 3D Point Cloud InterpolationonFP-R-H
    Recall (3cm, 10 degrees)
    0
    best: 99.41 (GeDi)
  • 3D Point Cloud InterpolationonFP-O-M
    Recall (3cm, 10 degrees)
    0
    best: 88.06 (Exhaustive Grid Search)
  • 3D Point Cloud InterpolationonFP-O-E
    Recall (3cm, 10 degrees)
    0
    best: 99.88 (FPFH+SC2-PCR )
  • 3D Point Cloud InterpolationonFP-T-M
    Recall (3cm, 10 degrees)
    0
    best: 99.82 (Exhaustive Grid Search)
  • 3D Point Cloud InterpolationonFP-T-E
    Recall (3cm, 10 degrees)
    0
    best: 99.76 (FPFH+SC2-PCR)
  • 3D Point Cloud InterpolationonFP-O-H
    Recall (3cm, 10 degrees)
    0
    best: 38.85 (FPFH+SC2-PCR)