We address the correspondence based point cloud registration problem with extremely high outlier ratio. Potential inliers are chosen by checking the distance ...
Correspondence-based point cloud registration is widely used in the computer vision field and it is often solved by RANSAC, which is stable and fast when ...
Correspondence-based point cloud registration is widely used in the computer vision field and it is often solved by RANSAC, which is stable and fast when ...
Fast correspondence-based point cloud registration by pair-wise inlier checking and transformation decomposition ; Journal: Pattern Recognition Letters, 2020, p.
Jul 25, 2023 · Abstract—We study the problem of extracting accurate correspondences for point cloud registration. Recent keypoint-free methods.
Missing: checking | Show results with:checking
A generalized 3D point cloud registration framework has been developed to estimate the optimal rigid transformation between two point clouds using 3D key point ...
Missing: checking | Show results with:checking
This paper presents a novel preprocessing method called guaranteed outlier removal for point cloud registration which reduces the input to a smaller set, ...
The key idea is to directly group the corresponding points into dif- ferent clusters according to a distance invariance matrix. Specifically, the matrix is ...
Aug 21, 2020 · Registration can be categorized into pairwise when the input is a pair of point sets, and multi-view when more than two point clouds are ...
This paper introduces the maximal clique with adaptive voting (MCAV) method, which leverages graph-based inlier compatibility to optimize potential matches.