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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Bibliographic Details
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
Subjects
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
Variational partitioning
Shape diameter function
Meshless surface processing
Shape analysis
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Summary: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.
ISSN:0178-2789
1432-2315
DOI:10.1007/s00371-015-1198-4