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Robust surface reconstruction of teeth from raw pointsets
Author(s) -
Mao Zhihong,
Park Kyusic,
Lee Kunwoo,
Li Xiongbing
Publication year - 2014
Publication title -
international journal for numerical methods in biomedical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.741
H-Index - 63
eISSN - 2040-7947
pISSN - 2040-7939
DOI - 10.1002/cnm.2608
Subject(s) - surface (topology) , surface reconstruction , curvature , computer vision , computer science , 3d reconstruction , noise (video) , mesh generation , artificial intelligence , mathematics , engineering , image (mathematics) , finite element method , geometry , structural engineering
SUMMARY This paper discusses a 3D robust dental surface reconstruction method. The surface reconstruction method usually consists of the following stages: mesh generation, surface registration, and surface merging. A large amount of noise will be accumulated after these three processes especially for the dental model with many sharp features of high curvature. To obtain an accurate dental surface, this paper first strengthens the mesh generation and the surface registration using optimal parameters. Then, a 3D robust dental surface reconstruction is performed by iteratively executing the smallest univalue segment assimilating nucleus filtering method and the surface attraction method. Finally, virtual scanning and real scanning models are introduced to validate the accuracy of the presented method. The experiments show that our method can robustly reconstruct the 3D dental model. Copyright © 2013 John Wiley & Sons, Ltd.