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Point Cloud Registration
Point Cloud Registration On 3Dmatch Trained
Point Cloud Registration On 3Dmatch Trained
Metrics
Recall
Results
Performance results of various models on this benchmark
Columns
Model Name
Recall
Paper Title
GeDi
0.922
Learning general and distinctive 3D local deep descriptors for point cloud registration
SpinNet
0.845
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
D3Feat-pred
0.627
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
FCGF
0.325
Fully Convolutional Geometric Features
FPFH
0.136
Fast Point Feature Histograms (FPFH) for 3D Registration
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Point Cloud Registration On 3Dmatch Trained | SOTA | HyperAI