Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points | Zendy

Hai Liu | Zendy; Shulin Wang | Zendy; Donghong Zhao | Zendy

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Enhanced Super4PCS Algorithm by Comparing Transformed Normals at Corresponding Points

Author(s) -

Hai Liu,

Shulin Wang,

Donghong Zhao

Publication year - 2022

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2022/6513776

Subject(s) - point cloud , transformation (genetics) , point (geometry) , algorithm , computer science , set (abstract data type) , cloud computing , artificial intelligence , mathematics , geometry , biochemistry , chemistry , gene , programming language , operating system

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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