Implementing data-dependent triangulations with higher order delaunay triangulations

The Delaunay triangulation is the standard choice for building triangulated irregular networks (TINs) to represent terrain surfaces. However, the Delaunay triangulation is based only on the 2D coordinates of the data points, ignoring their elevation. It has long been recognized that sometimes it may...

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Autores principales: Rodríguez, N., Silveira, R.I., Renz M., Ali M., Newsam S., Ravada S., Trajcevski G., Amazon; ESRI; Facebook; Google; Microsoft; Oracle
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814503_v_n_p_Rodriguez
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spelling todo:paper_97814503_v_n_p_Rodriguez2023-10-03T16:43:22Z Implementing data-dependent triangulations with higher order delaunay triangulations Rodríguez, N. Silveira, R.I. Renz M. Ali M. Newsam S. Renz M. Ravada S. Trajcevski G. Amazon; ESRI; Facebook; Google; Microsoft; Oracle Data-dependent triangulations Delaunay triangulation Triangulated irregular networks Computational geometry Geographic information systems Information systems Surveying Tinning 2D coordinates Data dependent Data dependent triangulations Delau-nay triangulations Higher-order delaunay triangulations Terrain surfaces Theoretical aspects Triangulated irregular networks Triangulation The Delaunay triangulation is the standard choice for building triangulated irregular networks (TINs) to represent terrain surfaces. However, the Delaunay triangulation is based only on the 2D coordinates of the data points, ignoring their elevation. It has long been recognized that sometimes it may be beneficial to use other, non-Delaunay, criteria to build TINs. Data-dependent triangulations were introduced decades ago to address this. However, they are rarely used in practice, mostly because the optimization of datadependent criteria often results in triangulations with many thin and elongated triangles. Recently, in the field of computational geometry, higher order Delaunay triangulations (HODTs) were introduced, trying to tackle both issues at the same time-data-dependent criteria and good triangle shape. Nevertheless, most previous studies about them have been limited to theoretical aspects. In this work we present the first extensive experimental study on the practical use of HODTs, as a tool to build data-dependent TINs. We present experiments with two USGS terrains that show that HODTs can give significant improvements over the Delaunay triangulation for the criteria identified as most important for data-dependent triangulations. The resulting triangulations have data-dependent values comparable to those obtained with pure data-dependent approaches, without compromising the shape of the triangles, and are faster to compute. © 2016 ACM. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_97814503_v_n_p_Rodriguez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Data-dependent triangulations
Delaunay triangulation
Triangulated irregular networks
Computational geometry
Geographic information systems
Information systems
Surveying
Tinning
2D coordinates
Data dependent
Data dependent triangulations
Delau-nay triangulations
Higher-order delaunay triangulations
Terrain surfaces
Theoretical aspects
Triangulated irregular networks
Triangulation
spellingShingle Data-dependent triangulations
Delaunay triangulation
Triangulated irregular networks
Computational geometry
Geographic information systems
Information systems
Surveying
Tinning
2D coordinates
Data dependent
Data dependent triangulations
Delau-nay triangulations
Higher-order delaunay triangulations
Terrain surfaces
Theoretical aspects
Triangulated irregular networks
Triangulation
Rodríguez, N.
Silveira, R.I.
Renz M.
Ali M.
Newsam S.
Renz M.
Ravada S.
Trajcevski G.
Amazon; ESRI; Facebook; Google; Microsoft; Oracle
Implementing data-dependent triangulations with higher order delaunay triangulations
topic_facet Data-dependent triangulations
Delaunay triangulation
Triangulated irregular networks
Computational geometry
Geographic information systems
Information systems
Surveying
Tinning
2D coordinates
Data dependent
Data dependent triangulations
Delau-nay triangulations
Higher-order delaunay triangulations
Terrain surfaces
Theoretical aspects
Triangulated irregular networks
Triangulation
description The Delaunay triangulation is the standard choice for building triangulated irregular networks (TINs) to represent terrain surfaces. However, the Delaunay triangulation is based only on the 2D coordinates of the data points, ignoring their elevation. It has long been recognized that sometimes it may be beneficial to use other, non-Delaunay, criteria to build TINs. Data-dependent triangulations were introduced decades ago to address this. However, they are rarely used in practice, mostly because the optimization of datadependent criteria often results in triangulations with many thin and elongated triangles. Recently, in the field of computational geometry, higher order Delaunay triangulations (HODTs) were introduced, trying to tackle both issues at the same time-data-dependent criteria and good triangle shape. Nevertheless, most previous studies about them have been limited to theoretical aspects. In this work we present the first extensive experimental study on the practical use of HODTs, as a tool to build data-dependent TINs. We present experiments with two USGS terrains that show that HODTs can give significant improvements over the Delaunay triangulation for the criteria identified as most important for data-dependent triangulations. The resulting triangulations have data-dependent values comparable to those obtained with pure data-dependent approaches, without compromising the shape of the triangles, and are faster to compute. © 2016 ACM.
format CONF
author Rodríguez, N.
Silveira, R.I.
Renz M.
Ali M.
Newsam S.
Renz M.
Ravada S.
Trajcevski G.
Amazon; ESRI; Facebook; Google; Microsoft; Oracle
author_facet Rodríguez, N.
Silveira, R.I.
Renz M.
Ali M.
Newsam S.
Renz M.
Ravada S.
Trajcevski G.
Amazon; ESRI; Facebook; Google; Microsoft; Oracle
author_sort Rodríguez, N.
title Implementing data-dependent triangulations with higher order delaunay triangulations
title_short Implementing data-dependent triangulations with higher order delaunay triangulations
title_full Implementing data-dependent triangulations with higher order delaunay triangulations
title_fullStr Implementing data-dependent triangulations with higher order delaunay triangulations
title_full_unstemmed Implementing data-dependent triangulations with higher order delaunay triangulations
title_sort implementing data-dependent triangulations with higher order delaunay triangulations
url http://hdl.handle.net/20.500.12110/paper_97814503_v_n_p_Rodriguez
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