Mar 23, 2019 · It is based on evaluating origin candidates in the model point cloud to determine the approximate pose of the data point cloud. The proposed ...
The candidate-based axially switching (CBAS) computed closer point (CCP) approach is proposed which is efficient, effective, and robust and has been ...
Mar 23, 2019 · It is based on evaluating origin candidates in the model point cloud to determine the approximate pose of the data point cloud. The proposed ...
Dive into the research topics of 'Candidate-based matching of 3-D point clouds with axially switching pose estimation'. Together they form a unique fingerprint.
The candidate-based axially switching CCP approach is employed before the ICP algorithm to enhance the uncertain range of the translation and the rotation ...
Feb 6, 2020 · I'm trying to implement pose estimation given a mesh and a generated point cloud. Using PCL, I know you can do pose estimation with two point ...
Missing: axially switching
Candidate-based matching of 3-D point clouds with axially switching pose estimation ... The candidate-based axially switching (CBAS) computed closer point ...
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Candidate-based matching of 3-D point clouds with axially switching pose estimation ... based matching of 3-D point clouds with axially switching pose estimation.
Feb 6, 2022 · I am using an intelrealsense D435i, on ubuntu camera. I want to estimate the 3d poses of all the points, w.r.t camera in the point cloud?
May 16, 2023 · C. W. Chung and C. H. Wu, “Candidate-based matching of 3-D point clouds with axially switching pose estimation,” Vis. Comput. 36(3), 593–607 ...