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Authors: Aldo Canepa 1 ; Gonzalo Infante 1 ; Nancy Hitschfeld 1 and Claudio Lobos 2

Affiliations: 1 FCFM and Universidad de Chile, Chile ; 2 Universidad Técnica Federico Santa María, Chile

ISBN: 978-989-758-175-5

Keyword(s): Polygonal Meshes, Polyhedral Meshes, Quality Criteria, Data Visualization, GLSL.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Graphical Interfaces ; High-Performance Computing and Parallel Rendering ; Interactive Environments ; Model Validation ; Real-Time Graphics ; Rendering ; Solid and Heterogeneous Modeling ; Surface Modeling

Abstract: The numerical simulation of phenomena requires a good quality discretization (mesh) of the domain. Depending on the problem to be simulated, the mesh has to fulfil different quality criteria. Because of geometry restrictions or point density requirements, several mesh elements might not satisfy the required quality criteria and sometimes it is also not required that all elements fulfil them. Then, it would be helpful to know where unwanted elements are located in order to see if they need to be repaired or not. That is why a visualization tool that allows the user to inspect a mesh before a simulation is performed can be useful to prevent simulation problems. Moreover, if data from simulations is available, the visualization of geometrical properties together with simulation data could be also helpful to understand not expected results. These challenges have motivated us to develop Camar´on, a visualization tool for large surface and volume meshes described in this paper. The surface meshes can be composed any polygonal cell and the 3D meshes can include any convex polyhedral cell. This tool was implemented in C++ and the OpenGL Shading Language (GLSL). We discuss the design and implementation issues that make our software portable, extensible and different from other visualization tools. We also compare the performance between Camar´on and GeomView, TetView and MeshLab. (More)

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Paper citation in several formats:
Canepa, A.; Infante, G.; Hitschfeld, N. and Lobos, C. (2016). Camarón: An Open-source Visualization Tool for the Quality Inspection of Polygonal and Polyhedral Meshes.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 130-137. DOI: 10.5220/0005830501280135

@conference{grapp16,
author={Aldo Canepa. and Gonzalo Infante. and Nancy Hitschfeld. and Claudio Lobos.},
title={Camarón: An Open-source Visualization Tool for the Quality Inspection of Polygonal and Polyhedral Meshes},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, (VISIGRAPP 2016)},
year={2016},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005830501280135},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1 GRAPP: GRAPP, (VISIGRAPP 2016)
TI - Camarón: An Open-source Visualization Tool for the Quality Inspection of Polygonal and Polyhedral Meshes
SN - 978-989-758-175-5
AU - Canepa, A.
AU - Infante, G.
AU - Hitschfeld, N.
AU - Lobos, C.
PY - 2016
SP - 130
EP - 137
DO - 10.5220/0005830501280135

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