A meshless strategy for shape diameter analysis

An approach to computing an intuitive local thickness from surface meshes was introduced with the shape diameter function (SDF) in Shapira et al. (Vis Comput 24(4):249–259, 2008 ). In this paper, we present a new dynamic approach to the computation of the SDF for a cloud of points on the boundary of...

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Published inThe Visual computer Vol. 33; no. 3; pp. 303 - 315
Main Authors Huska, Martin, Morigi, Serena
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2017
Springer Nature B.V
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Abstract An approach to computing an intuitive local thickness from surface meshes was introduced with the shape diameter function (SDF) in Shapira et al. (Vis Comput 24(4):249–259, 2008 ). In this paper, we present a new dynamic approach to the computation of the SDF for a cloud of points on the boundary of a volumetric object. We employ a particle flow driven by a simple collision test. The resulting SDF scalar field can be naturally exploited as a shape property for the volume-oriented object decomposition. Experimental results show the effectiveness and efficiency of our proposals.
AbstractList An approach to computing an intuitive local thickness from surface meshes was introduced with the shape diameter function (SDF) in Shapira et al. (Vis Comput 24(4):249–259, 2008 ). In this paper, we present a new dynamic approach to the computation of the SDF for a cloud of points on the boundary of a volumetric object. We employ a particle flow driven by a simple collision test. The resulting SDF scalar field can be naturally exploited as a shape property for the volume-oriented object decomposition. Experimental results show the effectiveness and efficiency of our proposals.
An approach to computing an intuitive local thickness from surface meshes was introduced with the shape diameter function (SDF) in Shapira et al. (Vis Comput 24(4):249–259, 2008). In this paper, we present a new dynamic approach to the computation of the SDF for a cloud of points on the boundary of a volumetric object. We employ a particle flow driven by a simple collision test. The resulting SDF scalar field can be naturally exploited as a shape property for the volume-oriented object decomposition. Experimental results show the effectiveness and efficiency of our proposals.
Author Huska, Martin
Morigi, Serena
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  surname: Morigi
  fullname: Morigi, Serena
  email: serena.morigi@unibo.it
  organization: Department of Mathematics, University of Bologna
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CitedBy_id crossref_primary_10_1016_j_cam_2018_06_048
crossref_primary_10_1109_ACCESS_2020_2976847
crossref_primary_10_1177_09544054221118795
crossref_primary_10_1177_1550147718822458
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Issue 3
Keywords Variational partitioning
Shape diameter function
Meshless surface processing
Shape analysis
Language English
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Snippet An approach to computing an intuitive local thickness from surface meshes was introduced with the shape diameter function (SDF) in Shapira et al. (Vis Comput...
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springer
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StartPage 303
SubjectTerms Algorithms
Artificial Intelligence
Computer Graphics
Computer Science
Datasets
Decomposition
Diameters
Image Processing and Computer Vision
Industrial design
Industrial production
Original Article
Production costs
Scalars
Sparsity
Vision systems
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Title A meshless strategy for shape diameter analysis
URI https://link.springer.com/article/10.1007/s00371-015-1198-4
https://www.proquest.com/docview/2917901409
Volume 33
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