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Dec 31, 2023 · UOT guarantees that the method can effectively match features extracted from the two point clouds, reject outliers, and handle occlusion points, while still ...
Missing: disparity | Show results with:disparity
Feb 26, 2024 · PDF | We propose a robust method for point cloud registration that can handle both unknown scales and extreme outlier ratios. Our method, dubbed PCR-99,.
Missing: disparity | Show results with:disparity
Sep 5, 2023 · We focus on rigid registration between two point clouds and do not consider registration in dynamic scenes. A. Correspondence-Based Point Cloud Registration. 1) ...
Mar 30, 2024 · We study the problem of outlier correspondence pruning for non-rigid point cloud registration ... matches based on the efficient inference via belief propagation ...
Missing: disparity | Show results with:disparity
May 23, 2024 · Automatically Update Interested Papers Daily using Github Actions (Update Every 12th hours) - lidq92/arxiv-daily.
Mar 23, 2024 · Propose a new 3D registration method which performs an exhaustive search of the rotation and translation spaces and selects the transformation candidate based ...
Missing: pruning disparity
Jul 11, 2024 · This paper provides an in-depth review of recent advancements in DL-based industrial CM using 3D PCs, with a specific focus on defect shape classification and ...
Missing: rigid | Show results with:rigid
May 25, 2024 · This paper proposes a learning framework COTReg by jointly considering the pointwise and structural matchings to predict correspondences of 3D point cloud ...
Missing: disparity | Show results with:disparity
Mar 13, 2024 · Recently, several approaches based on consistency graph are proposed for point cloud registration, emphasizing the encoding of con- sistency among pairs of ...
Missing: disparity | Show results with:disparity
Jul 4, 2024 · The extraction of filamentary structure from a point cloud is discussed. ... using the concept of matrix distance. These tests are examined to access ...