Mesh repairing using topology graphs

Author:

Charton Jerome1ORCID,Baek Stephen1,Kim Youngjun2

Affiliation:

1. Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242, USA

2. Center for Bionics, Korea Institute of Science and Technology, Seongbuk-gu, Seoul 02792, Republic of Korea

Abstract

Abstract Geometrical and topological inconsistencies, such as self-intersections and non-manifold elements, are common in triangular meshes, causing various problems across all stages of geometry processing. In this paper, we propose a method to resolve these inconsistencies using a graph-based approach. We first convert geometrical inconsistencies into topological inconsistencies and construct a topology graph. We then define local pairing operations on the topology graph, which is guaranteed not to introduce new inconsistencies. The final output of our method is an oriented manifold with all geometrical and topological inconsistencies fixed. Validated against a large data set, our method overcomes chronic problems in the relevant literature. First, our method preserves the original geometry and it does not introduce a negative volume or false new data, as we do not impose any heuristic assumption (e.g. watertight mesh). Moreover, our method does not introduce new geometric inconsistencies, guaranteeing inconsistency-free outcome.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Engineering (miscellaneous),Modelling and Simulation,Computational Mechanics

Reference46 articles.

1. Geomagic studio;3D Systems,1997–2016

2. SmithDR (scientific multi imaging tool handled by a DAG layeR);Aguerre,2013

3. Topology-reducing surface simplification using a discrete solid representation;Andújar;ACM Transactions on Graphics,2002

4. A lightweight approach to repairing digitized polygon meshes;Attene;The Visual Computer,2010

5. Meshfix;Attene,2010–2016

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Transfer Learning-based Approach for 3D Reconstruction from a Single 2D Image;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

2. Transfer Learning-based Approach for 3D Reconstruction from a Single 2D Image;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

3. Lightweighting Process of Digital Twin Information Models for Smart City Services;KSCE Journal of Civil Engineering;2024-01-11

4. Evolution of the Surface Computational Mesh in the Ice Accretion Process;Lobachevskii Journal of Mathematics;2023-11

5. Rate-Rendering Distortion Optimized Preprocessing for Texture Map Compression of 3D Reconstructed Scenes;IEEE Transactions on Circuits and Systems for Video Technology;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3