activity
20182023
most citedRecognising geometric primitives in 3D point clouds of mechanical CAD objects

36 citations · 171 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.BM2023★ 5 cited

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…

cs.GR2023★ 36 cited

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…

cs.GR2022★ 13 cited

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…

q-bio.BM2022★ 18 cited

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…

cs.CV2022★ 22 cited

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…

cs.GR2021★ 32 cited

Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects

Chiara Romanengo, Andrea Raffo, Yifan Qie +2

We propose Fit4CAD, a benchmark for the evaluation and comparison of methods for fitting simple geometric primitives in point clouds representing CAD objects. This benchmark is mea…

q-bio.BM2021★ 17 cited

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…

math.NA2019★ 8 cited

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…

math.NA2019★ 9 cited

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…

math.NA2018★ 11 cited

Reverse engineering of CAD models via clustering and approximate implicitization

Andrea Raffo, Oliver J. D. Barrowclough, Georg Muntingh

In applications like computer aided design, geometric models are often represented numerically as polynomial splines or NURBS, even when they originate from primitive geometry. For…