Point Cloud Registration
Point cloud registration is a fundamental problem in 3D computer vision and photogrammetry, aiming to align multiple point sets from different coordinate systems into the same coordinate system by finding the optimal transformation matrix. This technique is of great significance in various visual applications such as 3D model reconstruction, cultural heritage management, landslide monitoring, and solar analysis.
ETH (trained on 3DMatch)
GeDi
3DMatch Benchmark
IMFNet
3DMatch (at least 30% overlapped - FCGF setting)
NgeNet
KITTI (trained on 3DMatch)
GeDi
3DLoMatch (10-30% overlap)
GeoTransformer - P2PNet
3DMatch (at least 30% overlapped - sample 5k interest points)
NgeNet
KITTI (FCGF setting)
FCGF
FPv1
Greedy Grid Search
FP-O-E
FP-O-H
FP-O-M
FP-R-E
FP-R-H
GeDi
FP-R-M
FP-T-E
FP-T-H
FP-T-M
KITTI
GeDi
RotKITTI Registration Benchmark
UMERegRobust
3DMatch (trained on KITTI)
GeDi
KITTI (Distant PCR)
nuScenes (Distant PCR)
GCL+KPConv
3RScan
SG-PGM