Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Half-edge Collapse Simplification Algorithm Based on Angle Feature

Authors
JunFeng Li, YongBo Chen, MingSong Wang, GuoPing Wang
Corresponding Author
JunFeng Li
Available Online April 2015.
DOI
10.2991/amcce-15.2015.71How to use a DOI?
Keywords
3D model simplification; Half folding algorithm; Angle features
Abstract

A half folding algorithm based on angle features is proposed to meet the requirements of 3D model's simplification. The folded side with redundant data is determined by the side length and the angle between the side and the vertex's direction vector. The reserved vertex of the folded side is determined by the mean and the variance of the angle between the vertex's direction vector and all the sides through the vertex. The 3D model is simplified by folding the folded side to the reserved vertex. This algorithm is tested by Bunny 3D model, the result shows that this algorithm can reduce the redundant data without losing model features.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.71How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - JunFeng Li
AU  - YongBo Chen
AU  - MingSong Wang
AU  - GuoPing Wang
PY  - 2015/04
DA  - 2015/04
TI  - Half-edge Collapse Simplification Algorithm Based on Angle Feature
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 369
EP  - 373
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.71
DO  - 10.2991/amcce-15.2015.71
ID  - Li2015/04
ER  -