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
Descripción
Sumario: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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