Search Results for author:
Found 9 papers, 5 papers with code
GEO-Nav: a geometric dataset of voltage-gated sodium channels
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 name a few.
Recognising geometric primitives in 3D point clouds of mechanical CAD objects
In this article we propose a solution, based on the Hough transform, that can recognize simple and complex geometric primitives and is robust to noise, outliers, and missing parts.
SHREC 2022: Protein-ligand binding site recognition
This paper presents the methods that have participated in the SHREC 2022 contest on protein-ligand binding site recognition.
Fitting and recognition of geometric primitives in segmented 3D point clouds using a localized voting procedure
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 modelling and processing.
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
A training set, composed of 3836 semantic segmentation image/mask pairs and 797 RGB-D video clips collected with the latest depth cameras was made available to the participants.
Ranked #1 on
Semantic Segmentation
on Pothole Mix
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
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 physicochemical properties.
VEM and the Mesh
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 polygonal elements of the underlying mesh.
Numerical Analysis Numerical Analysis
Edge-based LBP description of surfaces with colorimetric patterns
In this paper we target the problem of the retrieval of colour patterns over surfaces.
Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
In the paper, for the first time we apply this novel extension of the HT technique to the realm of 3D shapes in order to identify and localize semantic features like patterns, decorations or anatomical details on 3D objects (both complete and fragments), even in the case of features partially damaged or incomplete.
