Detailed Information

Cited 4 time in webofscience Cited 4 time in scopus
Metadata Downloads

Parametric Blending of Hole Patches Based on Shape Differenceopen access

Authors
Park, Jung-HoPark, SanghunYoon, Seung-Hyun
Issue Date
Nov-2020
Publisher
MDPI
Keywords
hole filling; mesh fairing; mesh repairing; shape blending
Citation
SYMMETRY-BASEL, v.12, no.11, pp 1 - 13
Pages
13
Indexed
SCIE
SCOPUS
Journal Title
SYMMETRY-BASEL
Volume
12
Number
11
Start Page
1
End Page
13
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/18722
DOI
10.3390/sym12111759
ISSN
2073-8994
2073-8994
Abstract
A triangular mesh obtained by scanning 3D models typically contains holes. We present an effective technique for filling a hole in a triangular mesh in geometric modeling. Simple triangulation of a hole is refined and remeshed iteratively to generate an initial patch. The generated patch is then enhanced to become a target patch by minimizing the variation of principal curvatures. In discrete approximation, this produces a third-order Laplacian system of sparse symmetric positive definite matrix, and the symmetry can efficiently be used to find the robust solutions to the given Laplacian system. Laplacian smoothing of the target patch is defined as a source patch. The shape difference between two corresponding vertices of the source and the target patches is measured in terms of Euclidean distance and curvature variation. On the basis of the shape difference and a user-specified control parameter, different blending weights are determined for each vertex, and the final patch is generated by blending two patches. We demonstrate the effectiveness of our technique by discussing several examples. The experimental results show that our technique can effectively restore salient geometric features of the original shape.
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School of Digital Image & Contents > Department of Multimedia > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yun, Seung Hyun photo

Yun, Seung Hyun
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE