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Point Cloud Registration
Point Cloud Registration is a fundamental problem in 3D computer vision and photogrammetry. Given several sets of points in different coordinate systems, the aim of registration is to find the transformation that best aligns all of them into a common coordinate system. Point Cloud Registration plays a significant role in many vision applications such as 3D model reconstruction, cultural heritage management, landslide monitoring and solar energy analysis.
<span class="description-source">Source: Iterative Global Similarity Points : A robust coarse-to-fine integration solution for pairwise 3D point cloud registration </span>
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25개ETH (trained on 3DMatch)3DMatch Benchmark3DMatch (at least 30% overlapped - FCGF setting)KITTI (trained on 3DMatch)3DLoMatch (10-30% overlap)3DMatch (at least 30% overlapped - sample 5k interest points)KITTI (FCGF setting)FPv1FP-O-EFP-O-HFP-O-MFP-R-EFP-R-HFP-R-MFP-T-EFP-T-HFP-T-MKITTIRotKITTI Registration Benchmark3DMatch (trained on KITTI)KITTI (Distant PCR)nuScenes (Distant PCR)ScanNet++ (trained on 3DMatch)3RScanKITTI