A Globally Optimal Multi-Constrained Point Cloud Registration Algorithm
WEI Ziyi
REN Xiaoling
CHEN Xiaoyao
Abstract：In order to solve the problems of long registration time and low accuracy caused by local optimal solution,a multi constraint point cloud registration algorithm based on global optimal is proposed.The curvature similarity error and Euclidean dis-tance are used as constraints to achieve the closest point cloud registration.The experimental results show that the proposed registra-tion algorithm improves the efficiency and accuracy of the registration,and is superior to the original ICP iterative closest point algo-rithm.
Keywords：point cloud registrationEuclidean distanceiterative closest point algorithm
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2594-2597,2609 )