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Point Cloud Registration
Point Cloud Registration On Kitti Fcgf
Point Cloud Registration On Kitti Fcgf
Metrics
RE (all)
Recall (0.6m, 5 degrees)
TE (all)
Results
Performance results of various models on this benchmark
Columns
Model Name
RE (all)
Recall (0.6m, 5 degrees)
TE (all)
Paper Title
Repository
PCAM-Sparse + ICP
1.04
97.4
0.17
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
FGR
-
0.2
-
Fast Global Registration
FCGF
-
98.2
-
Fully Convolutional Geometric Features
PCAM-soft + ICP
0.79
98
0.12
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
PCAM-Sparse
1.17
96.5
0.22
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
Exhaustive Grid Search
-
94.59
-
Addressing the generalization of 3D registration methods with a featureless baseline and an unbiased benchmark
RANSAC
-
34.2
-
Fast Point Feature Histograms (FPFH) for 3D Registration
DGR (RE (all), TE(all) are reported in PCAM)
1.62
96.9
0.34
Deep Global Registration
PCAM - Soft
1.00
97.2
0.18
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds
GeoTransformer
-
99.5
-
Geometric Transformer for Fast and Robust Point Cloud Registration
DGR + ICP (RE (all), TE(all) are reported in PCAM)
1.43
98.2
0.16
Deep Global Registration
0 of 11 row(s) selected.
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