Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points

In this paper, an enhanced algorithm based on the Super4PCS algorithm was established to address the problem of prolonged congruent set verification of Super4PCS for point clouds with many points or low overlap. By comparing normals of corresponding points in a source point cloud and a tentatively t...

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Detalles Bibliográficos
Autores principales: Liu, Hai, Wang, Shulin, Zhao, Donghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986415/
https://www.ncbi.nlm.nih.gov/pubmed/35401712
http://dx.doi.org/10.1155/2022/6513776
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author Liu, Hai
Wang, Shulin
Zhao, Donghong
author_facet Liu, Hai
Wang, Shulin
Zhao, Donghong
author_sort Liu, Hai
collection PubMed
description In this paper, an enhanced algorithm based on the Super4PCS algorithm was established to address the problem of prolonged congruent set verification of Super4PCS for point clouds with many points or low overlap. By comparing normals of corresponding points in a source point cloud and a tentatively transformed target point cloud, this approach dramatically decreases the time required for candidate transformation verification. This strategy has been shown to improve registration efficiency in experiments.
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spelling pubmed-89864152022-04-07 Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points Liu, Hai Wang, Shulin Zhao, Donghong Comput Intell Neurosci Research Article In this paper, an enhanced algorithm based on the Super4PCS algorithm was established to address the problem of prolonged congruent set verification of Super4PCS for point clouds with many points or low overlap. By comparing normals of corresponding points in a source point cloud and a tentatively transformed target point cloud, this approach dramatically decreases the time required for candidate transformation verification. This strategy has been shown to improve registration efficiency in experiments. Hindawi 2022-03-30 /pmc/articles/PMC8986415/ /pubmed/35401712 http://dx.doi.org/10.1155/2022/6513776 Text en Copyright © 2022 Hai Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Hai
Wang, Shulin
Zhao, Donghong
Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
title Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
title_full Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
title_fullStr Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
title_full_unstemmed Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
title_short Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points
title_sort enhanced super4pcs algorithm by comparing transformed normals at corresponding points
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986415/
https://www.ncbi.nlm.nih.gov/pubmed/35401712
http://dx.doi.org/10.1155/2022/6513776
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AT wangshulin enhancedsuper4pcsalgorithmbycomparingtransformednormalsatcorrespondingpoints
AT zhaodonghong enhancedsuper4pcsalgorithmbycomparingtransformednormalsatcorrespondingpoints

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