62 citations · 223 across the 21 of their papers we have counts for
21 papers
GEO-Nav: a geometric dataset of voltage-gated sodium channels
Andrea Raffo, Ulderico Fugacci, Silvia Biasotti
Voltage-gated sodium (Nav) channels constitute a prime target for drug design and discovery, given their implication in various diseases such as epilepsy, migraine and ataxia to na…
Recognising geometric primitives in 3D point clouds of mechanical CAD objects
Chiara Romanengo, Andrea Raffo, Silvia Biasotti +1
The problem faced in this paper concerns the recognition of simple and complex geometric primitives in point clouds resulting from scans of mechanical CAD objects. A large number o…
Mesh Quality Agglomeration algorithm for the Virtual Element Method applied to Discrete Fracture Networks
Tommaso Sorgente, Fabio Vicini, Stefano Berrone +3
We propose a quality-based optimization strategy to reduce the total number of degrees of freedom associated to a discrete problem defined over a polygonal tessellation with the Vi…
SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds
Chiara Romanengo, Andrea Raffo, Silvia Biasotti +17
This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives w…
SHREC 2022: Protein-ligand binding site recognition
Luca Gagliardi, Andrea Raffo, Ulderico Fugacci +12
This paper presents the methods that have participated in the SHREC 2022 contest on protein-ligand binding site recognition. The prediction of protein-ligand binding regions is an…
Fitting and recognition of geometric primitives in segmented 3D point clouds using a localized voting procedure
Andrea Raffo, Chiara Romanengo, Bianca Falcidieno +1
The automatic creation of geometric models from point clouds has numerous applications in CAD (e.g., reverse engineering, manufacturing, assembling) and, more in general, in shape…
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
Elia Moscoso Thompson, Andrea Ranieri, Silvia Biasotti +6
This paper describes the methods submitted for evaluation to the SHREC 2022 track on pothole and crack detection in the road pavement. A total of 7 different runs for the semantic…
Polyhedron Kernel Computation Using a Geometric Approach
Tommaso Sorgente, Silvia Biasotti, Michela Spagnuolo
The geometric kernel (or simply the kernel) of a polyhedron is the set of points from which the whole polyhedron is visible. Whilst the computation of the kernel for a polygon has…
Polyhedral Mesh Quality Indicator for the Virtual Element Method
Tommaso Sorgente, Silvia Biasotti, Gianmarco Manzini +1
We present the design of a mesh quality indicator that can predict the behavior of the Virtual Element Method (VEM) on a given mesh family or finite sequence of polyhedral meshes (…
A Geometric Approach for Computing the Kernel of a Polyhedron
Tommaso Sorgente, Silvia Biasotti, Michela Spagnuolo
We present a geometric algorithm to compute the geometric kernel of a generic polyhedron. The geometric kernel (or simply kernel) is definedas the set of points from which the whol…
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
Andrea Raffo, Ulderico Fugacci, Silvia Biasotti +21
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemi…
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…
The role of mesh quality and mesh quality indicators in the Virtual Element Method
Tommaso Sorgente, Silvia Biasotti, Gianmarco Manzini +1
Since its introduction, the Virtual Element Method (VEM) was shown to be able to deal with a large variety of polygons, while achieving good convergence rates. The regularity assum…
Weighted Quasi Interpolant Spline Approximations: Properties and Applications
Andrea Raffo, Silvia Biasotti
Continuous representations are fundamental for modeling sampled data and performing computations and numerical simulations directly on the model or its elements. To effectively and…
Data-driven quasi-interpolant spline surfaces for point cloud approximation
Andrea Raffo, Silvia Biasotti
In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We…
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…
Hatching for 3D prints: line-based halftoning for dual extrusion fused deposition modeling
Tim Kuipers, Willemijn Elkhuizen, Jouke Verlinden +1
This work presents a halftoning technique to manufacture 3D objects with the appearance of continuous grayscale imagery for Fused Deposition Modeling (FDM) printers. While droplet-…
Description and Retrieval of Geometric Patterns on Surface Meshes using an edge-based LBP approach
Elia Moscoso Thompson, Silvia Biasotti
While texture analysis is largely addressed for images, the comparison of the geometric reliefs on surfaces embedded in the 3D space is still an open challenge. Starting from the L…
Experimental similarity assessment for a collection of fragmented artifacts
Silvia Biasotti, Elia Moscoso Thompson, Michela Spagnuolo
In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlation and searching across multiple collections. Archaeolog…
Edge-based LBP description of surfaces with colorimetric patterns
Elia Moscoso Thompson, Silvia Biasotti
In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor f…
Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
Maria-Laura Torrente, Silvia Biasotti, Bianca Falcidieno
Feature curves are largely adopted to highlight shape features, such as sharp lines, or to divide surfaces into meaningful segments, like convex or concave regions. Extracting thes…