Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Biasotti, Silvia"'
Autor:
Sorgente, Tommaso, Berrone, Stefano, Biasotti, Silvia, Manzini, Gianmarco, Spagnuolo, Michela, Vicini, Fabio
We present an optimization procedure for generic polygonal or polyhedral meshes, tailored for the Virtual Element Method (VEM). Once the local quality of the mesh elements is analyzed through a quality indicator specific to the VEM, groups of element
Externí odkaz:
http://arxiv.org/abs/2404.11484
Publikováno v:
Computers & Graphics 115 (2023) 285-295
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. In this regard, performing morphological analysis is a cruci
Externí odkaz:
http://arxiv.org/abs/2306.12348
Publikováno v:
Computer-Aided Design 157 (2023) 103479
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 of points, the presence of noise, outliers, missing or redundant parts
Externí odkaz:
http://arxiv.org/abs/2301.04371
Autor:
Sorgente, Tommaso, Vicini, Fabio, Berrone, Stefano, Biasotti, Silvia, Manzini, Gianmarco, Spagnuolo, Michela
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 Virtual Element Method. The presented Quality Agglomeration algorithm re
Externí odkaz:
http://arxiv.org/abs/2208.09639
Autor:
Romanengo, Chiara, Raffo, Andrea, Biasotti, Silvia, Falcidieno, Bianca, Fotis, Vlassis, Romanelis, Ioannis, Psatha, Eleftheria, Moustakas, Konstantinos, Sipiran, Ivan, Nguyen, Quang-Thuc, Chu, Chi-Bien, Nguyen-Ngoc, Khoi-Nguyen, Vo, Dinh-Khoi, To, Tuan-An, Nguyen, Nham-Tan, Le-Pham, Nhat-Quynh, Nguyen, Hai-Dang, Tran, Minh-Triet, Qie, Yifan, Anwer, Nabil
Publikováno v:
Computers & Graphics 107 (2022) 32-49
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 we mean the classical surface primitives derived from constructive soli
Externí odkaz:
http://arxiv.org/abs/2206.07636
Autor:
Gagliardi, Luca, Raffo, Andrea, Fugacci, Ulderico, Biasotti, Silvia, Rocchia, Walter, Huang, Hao, Amor, Boulbaba Ben, Fang, Yi, Zhang, Yuanyuan, Wang, Xiao, Christoffer, Charles, Kihara, Daisuke, Axenopoulos, Apostolos, Mylonas, Stelios, Daras, Petros
Publikováno v:
Computers & Graphics 107 (2022) 20-31
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 active research domain in computational biophysics and structural biol
Externí odkaz:
http://arxiv.org/abs/2206.06035
Publikováno v:
Computer Aided Geometric Design 97 (2022) 102123
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. Given a segmented point cloud representing a
Externí odkaz:
http://arxiv.org/abs/2205.15426
Autor:
Thompson, Elia Moscoso, Ranieri, Andrea, Biasotti, Silvia, Chicchon, Miguel, Sipiran, Ivan, Pham, Minh-Khoi, Nguyen-Ho, Thang-Long, Nguyen, Hai-Dang, Tran, Minh-Triet
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 segmentation of the road surface are compared, 6 from the participants
Externí odkaz:
http://arxiv.org/abs/2205.13326
Publikováno v:
In Computers & Graphics October 2024 123
Publikováno v:
In Computer Aided Geometric Design September 2024 113