loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Věra Skorkovská 1 ; Ivana Kolingerová 1 and Bedrich Benes 2

Affiliations: 1 University of West Bohemia, Czech Republic ; 2 Purdue University, United States

Keyword(s): Triangular Mesh, Mesh Repair, Intersections, Neighbor Tracing.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometric Computing ; Geometry and Modeling ; Modeling and Algorithms

Abstract: Triangular meshes are important in many fields in both basic and applied research that rely on their correctness and accuracy. Many operations with meshes can lead to undesirable situations and the resulting models can be damaged and further unusable. Self-intersection and mesh-to-mesh intersection are types of operations that are often present and can cause such problems. We propose an accurate geometry-based method for local repair of intersecting meshes. The state-of-the-art methods either solve the problem inaccurately, or use methods such as arbitrary precision arithmetic or virtual perturbation to deal with the troublesome boundary cases. Our method represents a robust way to repair intersecting meshes accurately without the need to manipulate with the input data or to employ arbitrary precision arithmetic. The correct solution is obtained through a careful classification of the cases that could result from a numerical imprecision of the floating point arithmetic.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.122.4

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Skorkovská, V.; Kolingerová, I. and Benes, B. (2018). A Simple and Robust Approach to Computation of Meshes Intersection. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - GRAPP; ISBN 978-989-758-287-5; ISSN 2184-4321, SciTePress, pages 175-182. DOI: 10.5220/0006538401750182

@conference{grapp18,
author={Věra Skorkovská. and Ivana Kolingerová. and Bedrich Benes.},
title={A Simple and Robust Approach to Computation of Meshes Intersection},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - GRAPP},
year={2018},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006538401750182},
isbn={978-989-758-287-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - GRAPP
TI - A Simple and Robust Approach to Computation of Meshes Intersection
SN - 978-989-758-287-5
IS - 2184-4321
AU - Skorkovská, V.
AU - Kolingerová, I.
AU - Benes, B.
PY - 2018
SP - 175
EP - 182
DO - 10.5220/0006538401750182
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic