Best data-dependent triangulations

Lyuba Alboul; G. Kloosterman; C.R. Traas; Rudolf M.J. van Damme

Best data-dependent triangulations

Lyuba Alboul, G. Kloosterman, C.R. Traas, Rudolf M.J. van Damme

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Abstract

When reconstructing a surface from irregularly spaced data we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, namely integral absolute Gaussian curvature, integral absolute mean curvature and area. A comparison is made with data-dependent triangulation methods that exist in the literature.

Original language	English
Place of Publication	Enschede
Publisher	University of Twente
Publication status	Published - 1999

Publication series

Name	Memorandum
Publisher	University of Twente, Department of Applied Mathematics
No.	1487
ISSN (Print)	0169-2690

Keywords

MSC-53C42
MSC-65Y25

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1487

1 Article

Best data-dependent triangulations
Alboul, L., Kloosterman, G., Traas, C. R. & van Damme, R. M. J., 2000, In: Journal of computational and applied mathematics. 2000, 119, p. 1-12 12 p.
Research output: Contribution to journal › Article › Academic › peer-review

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111 Downloads (Pure)

Cite this

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title = "Best data-dependent triangulations",

abstract = "When reconstructing a surface from irregularly spaced data we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, namely integral absolute Gaussian curvature, integral absolute mean curvature and area. A comparison is made with data-dependent triangulation methods that exist in the literature.",

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AU - Alboul, Lyuba

AU - Kloosterman, G.

AU - Traas, C.R.

AU - van Damme, Rudolf M.J.

PY - 1999

Y1 - 1999

N2 - When reconstructing a surface from irregularly spaced data we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, namely integral absolute Gaussian curvature, integral absolute mean curvature and area. A comparison is made with data-dependent triangulation methods that exist in the literature.

AB - When reconstructing a surface from irregularly spaced data we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, namely integral absolute Gaussian curvature, integral absolute mean curvature and area. A comparison is made with data-dependent triangulation methods that exist in the literature.

KW - MSC-53C42

KW - MSC-65Y25

M3 - Report

T3 - Memorandum

BT - Best data-dependent triangulations

PB - University of Twente

CY - Enschede

ER -

Best data-dependent triangulations

Abstract

Publication series

Keywords

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Research output

Best data-dependent triangulations

Cite this