Translator Disclaimer
9 September 2019 A New Robust and Fast Iterative Closest Point Algorithm for 3D Ship Hull Plate Bending Machines
Xin Liu, Yong Hu, Changshi Xiao
Author Affiliations +
Abstract

Liu, X.; Hu, Y., and Xiao, C.-S., 2019. A new robust and fast iterative closest point algorithm for 3D Ship Hull Plate Bending Machines. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 264–268. Coconut Creek (Florida), ISSN 0749-0208.

The registration accuracy has a direct impact on the processing accuracy of sheet metal in 3D Ship Hull Plate Bending Machines. This study introduces a new distance measure, Root-Mean-Squared iterative closest point (RMS-ICP) algorithm to significantly improve the robustness of the algorithm, and reduce the influence of outliers. At the same time, the 3D point sets registration algorithm is optimized. In addition, the RMS-ICP has been optimized in robustness, registration accuracy and convergence speed in comparison with the original ICP and other improved ICP algorithms. The experiment results support that the performance of the RMS-ICP algorithm is better than other methods. Overall, the RMS-ICP algorithm is very effective in dealing with the point sets registration problem in 3D Ship Hull Plate Bending Machine.

©Coastal Education and Research Foundation, Inc. 2019
Xin Liu, Yong Hu, and Changshi Xiao "A New Robust and Fast Iterative Closest Point Algorithm for 3D Ship Hull Plate Bending Machines," Journal of Coastal Research 94(sp1), 264-268, (9 September 2019). https://doi.org/10.2112/SI94-055.1
Received: 3 February 2019; Accepted: 4 March 2019; Published: 9 September 2019
JOURNAL ARTICLE
5 PAGES


Share
SHARE
KEYWORDS
3D Ship Hull Plate Bending Machines
point sets
registration
ship outer plate processing
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top