activity
20172021
most citedEpsilon-shapes: characterizing, detecting and thickening thin features in geometric models

8 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2021

VEM and the Mesh

Tommaso Sorgente, Daniele Prada, Daniela Cabiddu +6

In this work we report some results, obtained within the framework of the ERC Project CHANGE, on the impact on the performance of the virtual element method of the shape of the pol…

cs.CG2021★ 1 cited

A Graphical Framework to Study the Correlation between Geometric Design and Simulation

Daniela Cabiddu, Giuseppe Patanè, Michela Spagnuolo

Partial differential equations can be solved on general polygonal and polyhedral meshes, through Polytopal Element Methods (PEMs). Unfortunately, the relation between geometry and…

cs.GR2019★ 3 cited

Benchmark of Polygon Quality Metrics for Polytopal Element Methods

M. Attene, S. Biasotti, S. Bertoluzza +6

Polytopal Element Methods (PEM) allow to solve differential equations on general polygonal and polyhedral grids, potentially offering great flexibility to mesh generation algorithm…

cs.GR2019★ 3 cited

Surface2Volume: Surface Segmentation Conforming Assemblable Volumetric Partition

Chrystiano Araújo, Daniela Cabiddu, Marco Attene +3

Users frequently seek to fabricate objects whose outer surfaces consist of regions with different surface attributes, such as color or material. Manufacturing such objects in a sin…

cs.CG2017★ 8 cited

Epsilon-shapes: characterizing, detecting and thickening thin features in geometric models

Daniela Cabiddu, Marco Attene

We focus on the analysis of planar shapes and solid objects having thin features and propose a new mathematical model to characterize them. Based on our model, that we call an epsi…