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Feature Preserving Filling of Holes on Point Sampled Surfaces Based on Tensor Voting
Joint Authors
Kong, Deming
Lin, Hongbin
Chen, Jieyun
Zhang, Yaru
Wang, Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents a novel hole filling method for the scattered point sampled surfaces, particularly for recovering the missing points at featured curves or corners.
Firstly, a tensor voting based multicriterion is proposed to identify the hole boundary points; accordingly, the holes on point sampled surface are classified into featured holes and nonfeatured holes.
Secondly, a novel spline curve guided tensor voting mechanism is proposed and used in inference of missing feature points.
Thirdly, the featured holes are split into nonfeatured holes using local projection.
Then, a plane guided tensor voting mechanism is proposed to recover the missing surface points.
Experimental results validate the effectiveness and accuracy of proposed methods in filling holes on point sampled surface including the sharp features.
American Psychological Association (APA)
Lin, Hongbin& Chen, Jieyun& Zhang, Yaru& Wang, Wei& Kong, Deming. 2018. Feature Preserving Filling of Holes on Point Sampled Surfaces Based on Tensor Voting. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209135
Modern Language Association (MLA)
Lin, Hongbin…[et al.]. Feature Preserving Filling of Holes on Point Sampled Surfaces Based on Tensor Voting. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1209135
American Medical Association (AMA)
Lin, Hongbin& Chen, Jieyun& Zhang, Yaru& Wang, Wei& Kong, Deming. Feature Preserving Filling of Holes on Point Sampled Surfaces Based on Tensor Voting. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1209135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209135