Silvia Biasotti

Research Director

Silvia Biasotti is a Research Director at IMATI-CNR, where since 1998 she is a member of the Shape Modeling Group.
In September 1998, she received a Laurea in Applied Mathematics from the University of Genova, Italy. She got the Doctorate Degree (Ph.D. equivalent) in Mathematics and Applications in May 2004 and the Doctor of Philosophy in Information and Communication Technologies in April 2008, both from the University of Genova (Italy).

Her research interests are related to shape modelling and computational topology, in particular, she's working on the definition of new tools for the analysis and synthesis of multidimensional media.
Since 1998, she has been addressing the study of 3D digital shapes through the analysis of the geometric-topological properties of real functions defined on the shape. She extended the definition of the Reeb graph to 2D and 3D discrete models and developed software prototypes for shape characterization and extended Reeb graph extraction from orientable surfaces and volumes.
For years, special emphasis has been devoted to the comparison of Reeb graphs with other shape descriptors and, in cooperation with the Vision Mathematics group of the University of Bologna, she extended the computation of size functions to 3D shapes and multivariate functions.
Application fields of these shape descriptors are DTM simplification and generalization, shape analysis, matching and classification of 3D datasets and best view selection.

In 2019 she serves as Program co-Chair the organization of the Eurographics Workshop  "3D Object Retrieval (3DOR)", Genova, Italy, 5-6 May 2019. Previously she was director of the first EG-IT PhD School on Graphics and Geometry Processing for Digital Manufacturing, Brescia, 16-18 October 2018 and the annual event of Italian chapter of the Eurographics Association: STAG: Smart Tools and Apps in Computer Graphics, in 2015 and 2016. 

She's an associate editor of the Intnl. Journal "ISRN Machine Vision" and has served in the programme committee of several international conferences.

She's involved in many scientific projects: among the others, she was responsible of the Ansaldo SCAUT/CNR contract "METODI DI ANALISI DI NUVOLE DI PUNTI PER IL RILEVAMENTO DI POSSIBILI DIFETTI DI UN ROTABILE SCANSIONATO MEDIANTE DISPOSITIVI LASER" and responsible of the geometric search engine developed in the EU H2020 project GRAVITATE.

She's teaching the master course in Applied Mathematics: "Metodi di analisi di superfici discrete e loro applicazioni" at the University of Genova for the years 2005-2009, 2011/2012, 2013/2014, 2015-2016 and 2018/2019.

Research Activity

Benchmarking, 

Computational Topology, 

Computer Graphics, 

Geographical Information Systems, 

Geometry Processing, 

Information Retrieval, 

Multidimensional Media, 

Multimedia and 3D Infrastructure, 

Multivariate Data Analysis, 

Pattern Recognition, 

Shape Analysis, 

Shape Description, 

Shape Modelling, 

3D Shape Recognition and Classification, 

3D Shape Similarity


Ongoing Projects

Similarità tra superfici

TEACUP


Publications

2022, Journal article
Chanalyzer: A Computational Geometry Approach for the Analysis of Protein Channel Shape and Dynamics
A.Raffo, L. Gagliardi, U. Fugacci,L. Sagresti, S. Grandinetti, G. Brancato, S. Biasotti, W. Rocchia
Morphological analysis of protein channels is a key step for a thorough understanding of their biological function and mechanism. In this respect, molecular dynamics (MD) is a very powerful tool, enab...

CNR@People | DOI: 10.3389/fmolb.2022.933924
2022, Journal article
Fitting and recognition of geometric primitives in segmented 3D point clouds using a localized voting procedure
Andrea Raffo, Chiara Romanengo, Bianca Falcidieno and Silvia Biasotti
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 proces...

CNR@People | DOI: 10.1016/j.cagd.2022.102123
2022, Journal article
Hough transform based recognition of space curves
Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti
Given a set of points representing a curve embedded in the Euclidean space and a familyof space curves, we face the problem of finding the curve of the family that best fitsthese points. For our purpo...

CNR@People | DOI: 10.1016/j.cam.2022.11450
2022, Journal article
Hough Transform for Detecting Space Curves in Digital 3D Models
C. Romanengo, S. Biasotti and B. Falcidieno
We present and analyse the Hough transform (HT) to recognise and approximate space curves in digital models, a problem that is not currently addressed by the standard HT. Our method works on meshes an...

CNR@People | DOI: 10.1007/s10851-021-01066-8
2022, Journal article
Polyhedral mesh quality indicator for the Virtual Element Method
T.Sorgente, S.Biasotti, G.Manzini, M.Spagnuolo
We present the design of a mesh quality indicatorthat can predict the behavior of the Virtual Element Method (VEM) on a given mesh family or a finite sequence of polyhedral meshes (dataset). The mesh ...

CNR@People | DOI: 10.1016/j.camwa.2022.03.042
2022, Journal article
Polyhedron kernel computation using a geometric approach
T. Sorgente, S. Biasotti and M. 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 of a polygon has been largely addresse...

CNR@People | DOI: 10.1016/j.cag.2022.05.001
2022, Journal article
SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds
C. Romanengo, A. Raffo, S. Biasotti, B. Falcidieno, V. Fotis, I. Romanelis, E. Psatha, K. Moustakas, I. Sipiran, Q.-T. Nguyen, C.-B. Chu, K.-N. Nguyen-Ngoc, D.-K. Vo, T.-A. To, N.-T. Nguyen, N.-Q. Le-Pham, H.-D. Nguyen, M.-T. Tran, Y. Qie, N. Anwer
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...

CNR@People | DOI: 10.1016/j.cag.2022.07.004
2022, Journal article
SHREC 2022: Pothole and crack detection in the road pavement using images and RGB-D data
E. Moscoso Thompson, A.Ranieri, S. Biasotti, M. Chicchon, I.Sipiran I, M.-K. Pham, T.-L. Nguyen-Ho, H.-D. Nguyen, M.-T. Tran
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 ...

CNR@People | DOI: 10.1016/j.cag.2022.07.018
2022, Journal article
SHREC 2022: Protein-ligand binding site recognition
L. Gagliardi, A. Raffo, U. Fugacci, S. Biasotti, W. Rocchia, H. Huang, B.B. Amor,Y. Fang , Y. Zhang, X. Wang, C. Christoffer, D. Kihara, A. Axenopoulos, S. Mylonas, P. Daras
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 dom...

CNR@People | DOI: 10.1016/j.cag.2022.07.005
2022, Journal article
The role of mesh quality and mesh quality indicators in the virtual element method
T. Sorgente, s. Biasotti, G. Manzini and M. Spagnuolo
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 assumptions proposed in t...

CNR@People | DOI: 10.1007/s10444-021-09913-3
2021, Journal article
Benchmarking the geometrical robustness of a Virtual Element Poisson solver
M.Attene,S. Biasotti, S. Bertoluzza, D. Cabiddu, M. Livesu, G. Patanè, M. Pennacchio, D. Prada, and M. Spagnuolo
Polytopal Element Methods (PEM) allow us solving differential equations on generalpolygonal and polyhedral grids, potentially offering great flexibility to meshgeneration algorithms. Differently from ...

CNR@People | DOI: 10.1016/j.matcom.2021.07.018
2021, Journal article
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
A.Raffo , U. Fugacci, S. Biasotti, W. Rocchia, Y. Liu , E. Otu, R. Zwiggelaar, D. Hunter, E. I. Zacharaki, E. Psatha, D. Laskos, G. Arvanitis , K. Moustakas, T. Aderinwale, C. Christoffer, W-H. Shin, D. Kihara, A. Giachetti , H-N. Nguyen, T-D. Nguyen , V-T. Nguyen-Truong,, D. Le-Thanh, H-D. Nguyen and M-T. TranA.Raffo , U. Fugacci, S. Biasotti, W. Rocchia, Y. Liu , E. Otu, R. Zwiggelaar, D. Hunter, E. I. Zacharaki, E. Psatha, D. Laskos, G. Arvanitis , K. Moustakas, T. Aderinwale, C. Christoffer, W-H. Shin, D. Kihara, A. Giachetti , H-N. Nguyen, T-D. Nguyen , V-T. Nguyen-Truong,, D. Le-Thanh, H-D. Nguyen and M-T. Tran
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and clas- sification of protein surfaces on the basis of their geometry and physicochemical properties. Th...

CNR@People | DOI: 10.1016/j.cag.2021.06.010
2021, Journal article
Weighted quasi-interpolant spline approximations of planar curvilinear profiles in digital images
A. Raffo and S. Biasotti
The approximation of curvilinear profiles is very popular for processing digital images andleads to numerous applications such as image segmentation, compression and recognition. In thispaper, we deve...

CNR@People | DOI: 10.3390/math9233084
2021, Journal article
Weighted quasi-interpolant spline approximations: Properties and applications
A. Raffo and S. 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 efficiently address...

CNR@People | DOI: 10.1007/s11075-020-00989-4
2020, Journal article
Data-driven quasi-interpolant spline surfaces for point cloud approximation
A. Raffo and S. Biasotti
In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approxi- mation (wQISA), specifically designed for large and noisy point clouds. We briefly describe t...

CNR@People | DOI: 10.1016/j.cag.2020.05.004
2020, Journal article
HT-Based identification of 3D feature curves and their insertion into 3D meshes
C. Romanengo, s. Biasotti and B. Falcidieno
In this paper we present a method for recognising and inserting space curves on 3D shapes. These curves are identified by a set of vertices and approximated with known curves, like helices, which char...

CNR@People | DOI: 10.1016/j.cag.2020.05.012
2020, Journal article
mpLBP: A point-based representation for surface pattern description
E. Moscoso Thompson, S. Biasotti, J. Digne, R. Chaine
The Local Binary Pattern (LBP) is a very popular pattern descriptor for images that iswidely used to classify repeated pixel arrangements in a query image. Several extensionsof the LBP to surfaces exi...

CNR@People | DOI: 10.1016/j.cag.2019.12.001
2020, Journal article
Recognising decorations in archaeological finds through the analysis of characteristic curves on 3D models
C. Romanengo, S. Biasotti, and B. Falcidieno
In the analysis of archaeological finds, it is important for archaeologists to identify their style, origin, period, etc. to allow their correct classification. In the digital era, the development of ...

CNR@People | DOI: 10.1016/j.patrec.2020.01.025
2020, Journal article
SHREC'20 Track: Retrieval of digital surfaces with similar geometric reliefs
E. Moscoso Thompson, S. Biasotti, A. Giachetti, C. Tortorici, N. Werghi, A. Shaker, S. Berretti, H. Nguyen-Dinh, M-Q. Le, H-D. Nguyen, M.-T. Tran , L. Gigli, S. Velasco-Forero, B. Marcotegui, I. Sipiran, B. Bustos, I. Romanelis, V. Fotis , G. Arvanitis, K. Moustakas, E. Otu, R. Zwiggelaar, D.Hunter, Y.Liu, Y. Arteaga, R. Luxman
This paper presents the methods that have participated in the SHREC'20 contest on retrieval of surface patches with similar geometric reliefs and the analysis of their performance over the benchmark c...

CNR@People | DOI: 10.1016/j.cag.2020.07.011
2019, Journal article
Context-adaptive navigation of 3D model collections
S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo
When reasoning about similarity in a collection of objects with heterogeneous qualities, there are several aspects of interest that can be followed to explore the collection. Indeed, the notion of sim...

CNR@People | DOI: 10.1016/j.cag.2018.12.004
2019, Journal article
Retrieving color patterns on surface meshes using edgeLBP descriptors
E. Moscoso Thompson and S. Biasotti
Texture image retrieval and classification tasks are conducted widely in computer vision but few stud- ies have considered the same problem for decorations and textures applied to surfaces. Thus, in o...

CNR@People | DOI: 10.1016/j.cag.2018.12.009
2018, Journal article
Description and retrieval of geometric patterns on surface meshes using an edge-based LBP approach
E. Moscoso Thompson and S. 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 Local Binary Pattern ...

CNR@People | DOI: 10.1016/j.patcog.2018.04.028
2018, Journal article
Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
M.-L. Torrente, S. Biasotti, and B. 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 these curves is not suff...

CNR@People | DOI: 10.1016/j.patcog.2017.08.008
2018, Journal article
Topology-driven shape chartification
T.Sorgente, S. Biasotti, M. Livesu and M. Spagnuolo
We propose a novel algorithm to decompose a 3D object into an atlas of disk-like charts. Decomposition into charts with controlled shape and topology is relevant in many engineering areas, such as spl...

CNR@People | DOI: 10.1016/j.cagd.2018.07.001
2017, Journal article
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
complex to process, due to the size, variety, and dynamic nature of the data captured by sensing devices.The paper discusses an evaluation framework for comparing methods to approximate observed rain ...

CNR@People | DOI: 10.1016/j.isprsjprs.2016.09.011
2016, Journal article
Recent trends, applications, and perspectives in 3D shape similarity assessment
S. Biasotti, A. Cerri, A. Bronstein, and M. Bronstein
The recent introduction of 3D shape analysis frameworks able to quantify the deformation of a shape into another in terms of the variation of real functions yields a new interpretation of the 3D shape...

CNR@People | DOI: 10.1111/cgf.12734
2016, Journal article
Retrieval and classification methods for textured 3D models: a comparative study
Biasotti S.M.; Cerri A.; Aono M.; Hamza A.B.; Garro V.; Giachetti A.; Giorgi D.; Godil A.A.; Li G.C.; Sanada C.; Spagnuolo M.; Tatsuma A.; Velasco Forero S.
This paper presents a comparative study of six methods for the retrieval and classification of textured 3D models, which have been selected as representative of the state of the art. To better analyse...

CNR@People | DOI: 10.1007/s00371-015-1146-3
2016, Journal article
Shape and Semantics Modelling: la ricerca dell'IMATI - CNR per la rappresentazione, l'analisi e la documentazione di modelli digitali 3D e le sue applicazioni ai Beni Culturali
B. Falcidieno, F. Giannini, M. Spagnuolo, M. Attene, S. Biasotti, C. Catalano,M. De Martino, M. Monti, M. Mortara, e C. Pizzi
La missione dell'Istituto di Matematica Applicata e Tecnologie Informatiche "E. Magenes" (IMATI), conle sue tre sezioni di Pavia, Milano e Genova, è quella di fornire le conoscenze e ...

CNR@People | Link
2015, Journal article
3D artifacts similarity based on the concurrent evaluation of heterogeneous properties
S. Biasotti, A. Cerri, B. Falcidieno, and M. Spagnuolo
Archaeological artifacts are often classified in homogeneous groups, according to either intangible properties (e.g., origin, use, age) or physical features (e.g., color, material, geometric shape, si...

CNR@People | DOI: 10.1145/2747882
2014, Journal article
3D shape retrieval and classification using multiple kernel learning on extended Reeb graphs
V. Barra and S. Biasotti
We propose in this article a new 3D shape classification and retrieval method, based on a supervised selection of the most significant features in a space of attributed extended Reeb graphs encoding d...

CNR@People | DOI: 10.1007/s00371-014-0926-5
2013, Journal article
3D shape retrieval using Kernels on Extended Reeb Graphs
V. Barra and S. Biasotti
3D shape retrieval is becoming an acute issue for numerous applications that span from CAD to seriousgames to biomedicine and all contexts where it is fundamental to automatically retrieve geometricin...

CNR@People | DOI: 10.1016/j.patcog.2013.03.019
2013, Journal article
Grouping real functions defined on 3D surfaces
S. Biasotti, M. Spagnuolo, and B. Falcidieno
Scalar functions are widely used to support shape analysis and description. Their role is to sift the most significant shape information and to discard the irrelevant one, acting as a filter for the c...

CNR@People | DOI: 10.1016/j.cag.2013.05.007
2013, Journal article
Information-Theoretic Selection of High-Dimensional Spectral Features for Structural Recognition
Boyan B.; Escolano F.; Giorgi D.; Biasotti S.
Pattern recognition methods often deal with samples consisting of thousands of features. Therefore, the reduction of their dimensionality becomes crucial to make the data sets tractable. Feature selec...

CNR@People | DOI: 10.1016/j.cviu.2012.11.007
2013, Journal article
PHOG: Photometric and Geometric Functions for Textured Shape Retrieval
Biasotti S., Cerri A., Giorgi D., Spagnuolo M.
In this paper we target the problem of textured 3D object retrieval. As a first contribution, we show how to include photometric information in the persistence homology setting, also proposing a novel...

CNR@People | DOI: 10.1111/cgf.12168
2011, Journal article
A new algorithm for computing the 2-dimensional matching distance between size functions
S. Biasotti, A. Cerri, P. Frosini, and D. Giorgi
Size Theory has proven to be a useful geometrical/topological approach to shape comparison. Originally introduced by considering 1-dimensional properties of shapes, described by means of real-valued f...

CNR@People | DOI: 10.1016/j.patrec.2011.07.014
2011, Journal article
Geometric Models with Weighted Topology
M. Attene and S. Biasotti
This paper introduces the concept of weighted topology to model a 3D object whose connectivity and metric depend on a novel notion of weighted arc-length. The weighted arc-length between any two point...

CNR@People | DOI: 10.1016/j.cag.2011.03.013
2011, Journal article
Graph-based representations of point clouds
M. Natali, S. Biasotti, G. Patanè, and B. Falcidieno
This paper introduces a skeletal representation, called Point Cloud Graph, that generalizes the definition of the Reeb graph to arbitrary point clouds sampled from m-dimensional manifolds embedded in ...

CNR@People | DOI: 10.1016/j.gmod.2011.03.002
2010, Journal article
Shape Approximation by Differential Properties of Scalar Functions
S. Biasotti, G.Patanè, M. Spagnuolo, B. Falcidieno, and G. Barequet
This paper presents a method of shape chartification suitable for surface approximation. The innovation of this approach lies on the definition of an iterative refinement of the shape into a set of pa...

CNR@People | DOI: 10.1016/j.cag.2010.03.013
2009, Journal article
Discrete Laplace-Beltrami Operators for Shape Analysis and Segmentation
M. Reuter.; S. Biasotti; D. Giorgi; G. Patanè; M. Spagnuolo
The convergence property of the discrete Laplace-Beltrami operators is the foundation of convergence analysisof the numerical simulation process of some geometric partial differential equations which ...

CNR@People | DOI: 10.1016/j.cag.2009.03.005
2008, Journal article
Describing shapes by geometrical-topological properties of real functions
Biasotti S.; De Floriani L.; Falcidieno B.; Frosini P.; Giorgi D.; Landi C.; Papaleo L.; Spagnuolo M.
Differential topology, and specifically Morse theory, provide a suitable setting for formalizing and solvingseveral problems related to shape analysis. The fundamental idea behind Morse theory is that...

CNR@People | DOI: 10.1145/1391729.1391731
2008, Journal article
Multidimensional size functions for shape comparison
Biasotti S.; Cerri A.; Frosini P.; Giorgi D.; Landi C.
Size Theory has proven to be a useful framework for shape analysis in the context of pattern recognition. Its main tool is a shape descriptor called size function. Size Theory has been mostly develope...

CNR@People | DOI: 10.1007/s10851-008-0096-z
2008, Journal article
Reeb graphs for shape analysis and applications
Biasotti S.; Giorgi D.; Spagnuolo M.; Falcidieno B.
Reeb graphs are compact shape descriptors which convey topological information related to the level sets of a function defined on the shape. Their definition dates back to 1946, and finds its root in ...

CNR@People | DOI: 10.1016/j.tcs.2007.10.018
2008, Journal article
Size Functions for Comparing 3D Models
Biasotti S.; Giorgi D.; Spagnuolo M.; Falcidieno B.
This paper proposes an original framework to use size functions in the 3D context. Size functions are a mathematical tool, that have already shown its effectiveness for image retrieval and classificat...

CNR@People | DOI: 10.1016/j.patcog.2008.02.003
2007, Journal article
3D Classification via Structural Prototypes
S. Biasotti; D. Giorgi; S. Marini; M. Spagnuolo; B. Falcidieno
N/A

CNR@People
2007, Journal article
Differential topology methods for shape description
Biasotti S., Giorgi D., Patanè G.
Differential topology, and specifically Morse theory, provides a suitable setting for formalizing and solving several problems related to shape analysis. In this field, we discuss how a shape can be a...

CNR@People
2007, Journal article
Reeb graphs for shape analysis and applications
Biasotti S., Giorgi D., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2006, Journal article
Computational methods for understanding 3D shapes
Attene M.; Biasotti S.; Mortara M.; Patané G.; Spagnuolo M.; Falcidieno B.
Understanding shapes has been a challenging issue for many years, firstly motivated by computer vision and more recently by manycomplex applications in diverse fields, such as medical imaging, animati...

CNR@People | DOI: 10.1016/j.cag.2006.02.007
2006, Journal article
Sub-part correspondence by structural descriptors of 3D shapes
Biasotti S.; Marini S.; Spagnuolo M.; Falcidieno B.
To fully exploit the valuable knowledge embedded in repositories of digital models, it is crucial to devise search engines capable of expressing high-level and advanced queries, which can effectively ...

CNR@People | DOI: 10.1016/j.cad.2006.07.003
2005, Journal article
3D object comparison based on shape descriptors
Biasotti S.; Marini S.
Due to the recent improvements of 3D digitalisation, the number of 3D models available on the web is growing more and more, and there is an increasing demand for tools supporting the automatic search ...

CNR@People | DOI: 10.1504/IJCAT.2005.006465
2005, Journal article
Metodi di topologia computazionale per applicazioni inerenti la modellazione di forme
Biasotti S.
N/A

CNR@People | Link
2005, Journal article
Topological coding of surfaces with boundary using Reeb graphs
Biasotti S.
Morse theory provides the theoretical framework for defining several shape descriptors related to the evolution on the surface of its contour levels. For example, the Reeb graph gives a conceptual ske...

CNR@People | Link
2005, Journal article
What?'s in an Image? Towards the Computation of the "?Best"? View of an Object
Oleg Polonsky; Giuseppe Patane'; Silvia Biasotti; Craig Gotsman; Michela Spagnuolo
There are many possible 2D views of a given 3D object and most people would agree that some views are more aesthetic and/or more "informative" than others. Thus, it would be very useful, in ...

CNR@People | DOI: 10.1007/s00371-005-0326-y
2003, Journal article
Shape understanding by contour-driven retiling
Attene M. (1), Biasotti S. (1), Spagnuolo M. (1)
Given a triangle mesh representing a closed manifold surface of arbitrary genus, a method is proposed to automatically extract the Reeb graph of the manifold with respect to the height function. The m...

CNR@People | DOI: 10.1007/s00371-002-0182-y128
2014, Book
Mathematical tools for shape analysis and description
Biasotti S.; Falcidieno B.; Giorgi D.; Spagnuolo M.
This book is a guide for researchers and practitioners to the new frontiers of 3D shape analysis and the complex mathematical tools most methods rely on. The target reader includes students, researche...

CNR@People | DOI: 10.2200/S00588ED1V01Y201407CGR016
2022, Essay or book chapter
VEM and the Mesh
Tommaso Sorgente, Daniele Prada, Daniela Cabiddu, Silvia Biasotti, Giuseppe Patanè, Micol Pennacchio, Silvia Bertoluzza, Gianmarco Manzini and Michela Spagnuolo
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 t...

CNR@People | DOI: 10.1007/978-3-030-95319-5
2016, Essay or book chapter
Applications to surface approximation and rainfall analysis
G. Patanè, A. Cerri, V. Skytt , S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
First, we investigate the approximation of mainly bathymetric data with LR B-spline surfacesand look into different aspects of the approach (Sec.4.1). Second, we report on a comparisonof different met...

CNR@People | DOI: 10.2200/S00711ED1V01Y201603VCP024
2016, Essay or book chapter
Feature extraction
S. Biasotti, A. Cerri, G. Patanè, and M. Spagnuolo
Most original work on feature extraction has its root in classical 2D image processing (Sec.1) andmainly focuses on edge detection and the localization of interest points and regions. In practice,extr...

CNR@People | DOI: 10.2200/S00711ED1V01Y201603VCP024
2015, Essay or book chapter
Shape analysis and description using real functions
S. Biasotti, A. Cerri, M. Spagnuolo, and B. Falcidieno
N/A

CNR@People | DOI: 10.1007/978-3-662-44900-4_6
2008, Essay or book chapter
Morphological Representations of Scalar fields
Biasotti S.; de Floriani L.; Falcidieno B.; Papaleo L.
We consider the problem of representing and extracting morphological information from scalar fields. We focus on the analysis and comparison of algorithms for morphological representation of both 2D a...

CNR@People | DOI: 10.1007/978-3-540-33265-7_6
2008, Essay or book chapter
Skeletal structures
Biasotti S.; D.Attali; Boissonnat J-D.; Edelsbrunner H.; Elber G.; Mortara M.; Sanniti di Baja G.; Spagnuolo M.; Tanase M.; Veltkamp R.
Shape Descriptors are compact and expressive representations of objects suitable for solving problems like recognition, classification, or retrieval of shapes, tasks that are computationally expensive...

CNR@People | DOI: 10.1007/978-3-540-33265-7_5
2007, Essay or book chapter
Analysis and Comparison of Real Functions on Triangulated Surfaces
Biasotti S.; Patane' G.; Spagnuolo M.; Falcidieno B.
The study of geometric and topological properties of a triangulated surfaceMis ubiquitous in geometry and shape processing. In these contexts, different techniques in research areas such as shape abst...

CNR@People
2004, Essay or book chapter
Surface Shape Understanding based on Extended Reeb Graph Representation
Biasotti S.; Falcidieno B.; Spagnuolo M.
In this chapter we introduce and describe the notion of Extended Reeb Graph (ERG).First of all, an overview of the usual definition of critical points and Morse complexes for smooth manifolds is given...

CNR@People | DOI: 10.1002/0470020288.ch6
2022, Conference proceedings
Monitoraggio dello stato del manto stradale usando tecniche di deep learning
Andrea Ranieri, Silvia Biasotti, Elia Moscoso Thompson, Michela Spagnuolo
Questo documento riassume il contributo IMATIallo sviluppo di metodi per il riconoscimento di ammaloramentidel manto stradale, quali buche, crepe,cedimenti attraverso tecniche di deep learning. Talico...

CNR@People | Link
2022, Conference communications
Strumenti Intelligenti per Threat Detection e Response
Francesco Sergio Pisani, Silvia Biasotti, Nunziato Cassavia, Luca Caviglione, Gianluigi Folino, Massimo Guarascio, Giuseppe Manco, Marco Zuppelli
L'identificazione tempestiva di attacchi o software malevoli, la mitigazione del rischio, e la condivi- sione di informazioni per la "threat intelligence", rappresentano temi di estremo inte...

CNR@People | Link
2021, Conference proceedings
A Geometric Approach for Computing the Kernel of a Polyhedron
T. Sorgente, S. Biasotti, and M. Spagnuolo
We present a geometric algorithm to compute the geometric kernel of a generic polyhedron. The geometric kernel (or simplykernel) is defined as the set of points from which the whole polyhedron is visi...

CNR@People | DOI: 10.2312/stag.20211470
2021, Conference proceedings
Automatic segmentation of archaeological fragments with relief patterns using convolutional neural networks
E. Moscoso Thompson, A. Ranieri, S. Biasotti
The recent commodification of high-quality 3D scanners is leading to the possibility of capturing models of archaeological findsand automatically recognizing their surface reliefs. We present our adva...

CNR@People | DOI: 10.2312/gch.20211411
2020, Conference proceedings
Recognition, modelling and interactive manipulation of motifs or symbols represented by a composition of curves
C. Romanengo , E. Brunetto , S. Biasotti , C. E. Catalano , and B. Falcidieno
In this work we introduce a method for the recognition, modelling and interactive manipulation of graphical motifs, symbols orartistic elements that are represented by a composition of plane curves. O...

CNR@People | DOI: 10.2312/stag20201237
2019, Conference proceedings
A preliminary analysis of methods for curvature estimation on surfaces with local reliefs
E. Moscoso Thompson and S. Biasotti
Curvature estimation is very popular in geometry processing for the analysis of local surface variations. Despite the largenumber of methods, no quantitative nor qualitative studies have been conducte...

CNR@People | DOI: 10.2312/egs.20191006
2019, Conference proceedings
Feature-based Characterisation of Patient-specific 3D Anatomical Models
I. Banerjee, M. Paccini, E. Ferrari, C. E. Catalano, S. Biasotti, and M. Spagnuolo
This paper aims to examine the potential of 3D shape analysis integrated to machine learning techniques in supporting medicalinvestigation. In particular, we introduce an approach specially designed f...

CNR@People | DOI: 10.2312/stag.20191362
2019, Conference proceedings
mpLBP: An Extension of the Local Binary Pattern to Surfaces based on an Efficient Coding of the Point Neighbours
E. Moscoso Thompson, S. Biasotti, J. Digne and R. Chaine
The description of surface textures in terms of repeated colorimetric and geometric local surface variations is a crucial task forseveral applications, such as object interpretation or style identific...

CNR@People | DOI: 10.2312/3dor.20191056
2019, Conference proceedings
SHREC'19 track: Feature Curve Extraction on Triangle Meshes
E. Moscoso Thompsony, G. Arvanitis, K. Moustakas, N. Hoang-Xuan, E.R. Nguyen, M. Tran, T. Lejemble, L. Barthe, N.Mellado, C. Romanengo, S. Biasotti, and B. Falcidieno
This paper presents the results of the SHREC'19 track: Feature curve extraction on triangle meshes. Given a model, the challengeconsists in automatically extracting a subset of the mesh vertices that ...

CNR@People | DOI: 10.2312/3dor.20191066
2018, Conference proceedings
Edge-based LBP description of surfaces with colorimetric patterns
E. Moscoso Thompson and S. Biasotti
In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations thewell known Local Binary Pattern (LBP) descriptor for images. The key co...

CNR@People | DOI: 10.2312/3dor.20181046
2018, Conference proceedings
Experimental similarity assessment for a collection of fragmented artifacts
S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo
In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlationand searching across multiple collections. Archaeological excavations retu...

CNR@People | DOI: 10.2312/3dor.20181059
2018, Conference proceedings
SHREC'18 track: Recognition of geometric patterns over 3D models
S. Biasotti, E. Moscoso Thompson, L. Barthe, S. Berretti, A. Giachetti, T. Lejemble, N. Mellado, K. Moustakas,I. Manolas, D. Dimou, C. Tortorici, S. Velasco-Forero, N. Werghi, M. Polig, G. Sorrentino, and S. Hermon
This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scanacquisitions of archaeological fragments. This track approaches a lively and v...

CNR@People | DOI: 10.2312/3dor.20181055
2018, Conference proceedings
SHREC'18 track: Retrieval of gray patterns depicted on 3D models
E. Moscoso Thompson, C. Tortorici, N. Werghi, S. Berretti, S. Velasco-Forero, and S. Biasotti
This paper presents the results of the SHREC'18 track: Retrieval of gray patterns depicted on 3D models. The task proposedin the contest challenges the possibility of retrieving surfaces with the same...

CNR@People | DOI: 10.2312/3dor.20181054
2018, Conference posters
Similarity reasoning for collections of fragmented artefacts: the Gravitate example
S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo
N/A

CNR@People
2018, Meeting abstracts
Similarity reasoning over collections of 3D artifacts: the GRAVITATE example
S. Biasotti, E. Moscoso Thompson, and M. Spagnuolo
The creation of an increasing number of high-fidelity 3D models of objects and environments has opened new opportunities to study the past, by giving access to plenty of representations of artefacts c...

CNR@People | Link
2018, Conference proceedings
Towards an automatic 3D patterns classification: the GRAVITATE use case
E. Moscoso Thompson, S. Biasotti, G. Sorrentino, M. Polig, and S. Hermon
When cataloging archaeological fragments, decorative patterns are an indicator of the stylistic canon an object belongs to.In this paper we address a quantitative classification of the decorative patt...

CNR@People | DOI: 10.2312/gch.20181372
2017, Conference proceedings
Shape simplification through graph sparsification
F. Escolano, M. Curado, S. Biasotti, and E.R. Hancock
In this paper, we draw on Spielman and Srivastava's method for graph sparsification in order to simplify shape representations. The underlying principle of graph sparsification is to retain only the e...

CNR@People | DOI: 10.1007/978-3-319-58961-9_2
2017, Conference proceedings
Shrec'17 Track: Retrieval of surfaces with similar relief patterns
S. Biasotti, E. Moscoso Thompson, M. Aono, A. Ben Hamza, B. Bustos, S. Dong, B. Du, A. Fehri, H. Li,F. A. Limberger, M. Masoumi, M. Rezaei, I. Sipiran, L. Sun, A. Tatsuma, S. Velasco Forero, R. C. Wilson,Y. Wu, J. Zhang, T. Zhao, F. Fornasa, and A. Giachetti
This paper presents the results of the SHREC'17 contest on retrieval of surfaces with similar relief patterns. The proposed task was created in order to verify the possibility of retrieving surface pa...

CNR@People | DOI: 10.2312/3dor.20172005
2016, Conference proceedings
3D objects exploration: guidelines for future research
Biasotti S.; Falcidieno B.; Giorgi D.; Spagnuolo M.
Search engines provide the interface to interact with 3D object repositories, which are rapidly growing in both number and size. This position paper presents the current state of the art on 3D dataset...

CNR@People | DOI: 10.2312/3dor.20161081
2016, Conference proceedings
Feature identification in archaeological fragments using families of algebraic curves
M. Torrente, S. Biasotti, and B. Falcidieno
A method is proposed to identify and localize semantic features like anatomical characteristics or decorations on digital artefactsor fragments, even if the features are partially damaged or incomplet...

CNR@People | DOI: 10.2312/gch.20161389
2016, Conference proceedings
The shape and semantics modelling group
B. Falcidieno, F. Giannini, M. Spagnuolo, R. Albertoni, M. Attene, S. Biasotti, C. E. Catalano,M. De Martino, M. Monti, M. Mortara, G. Patane', and C. Pizzi
Presentiamo le attivit'a del gruppo di ricerca denominato "Shape and Semantics Modelling" operante presso la sezione diGenova dell'Istituto di Matematica Applicata e Tecnologie Informatiche ...

CNR@People
2016, Conference proceedings
Tracking the evolution of rainfall precipitation fields using persistent maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changes in timemay give interesting insights on the evolution of storm. Our approach is bas...

CNR@People | DOI: 10.2312/stag.20161361
2015, Conference proceedings
A comparison of methods for the approximation and analysis of rainfall fields in environmental applications
G. Patane', A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yet complex to process,due to the size, variety, and dynamic nature of the data captured by the ...

CNR@People | DOI: 10.5194/isprsannals-II-3-W5-523-2015
2015, Conference proceedings
SHREC15 Track: Retrieval of non-rigid (textured) shapes using low quality 3D models
A. Giachetti, F. Farina, F. Fornasa, A. Tatsuma, C. Sanada, M. Aono, S. Biasotti, A. Cerri, and S. Choi
This paper reports the results of the SHREC 2015 track on retrieval of non-rigid (textured) shapes from low quality3D models. This track has been organized to test the ability of the algorithms recent...

CNR@People | DOI: 10.2312/3dor.20151067
2014, Conference posters
Analysis of Geospatial Data through Geometric-Topological Properties
S. Biasotti, A. Cerri, B. Falcidieno, and M. Spagnuolo
Knowledge about the global properties of a shape and its main features is very useful for the compre-hension and intelligent analysis of large data sets: the main features and their configuration are ...

CNR@People
2014, Conference proceedings
Quantifying 3D shape similarity using maps: Recent trends, applications and perspectives
S. Biasotti, A. Cerri, A. Bronstein, and M. Bronstein
Shape similarity is an acute issue in Computer Vision and Computer Graphics that involves many aspects of humanperception of the real world, including judged and perceived similarity concepts, determi...

CNR@People | DOI: 10.2312/egst.20141039
2014, Conference proceedings
Reasoning About Shape in Complex Datasets: Geometry, Structure and Semantics
S. Biasotti, H. Laga, M. Mortara, and M. Spagnuolo
In recent years, acquisition and modelling of 3D data has gained a significant boost due to the availability of commodity devices. Digital 3D shape models are becoming a key component in many industri...

CNR@People | DOI: 10.2312/egt.20141018
2014, Conference communications
Shape analysis and similarity assessment using functions
S. Biasotti, A. Cerri, M. Spagnuolo, and B. Falcidieno
Mathematics provides formal settings which are really interesting to approach shape analysis and un-derstanding: shape descriptors, and the invariants they carry, are indeed the tools for abstracting ...

CNR@People
2014, Conference proceedings
SHREC'14 Track: Retrieval and Classification on Textured 3D Models
Biasotti S.; Cerri A.; Abdelrahman M.; Aono M.; Ben Hamza A.; El-Melegy M.; Farag A.; Garro V.; Giachetti D.; Giorgi D.; Godil A.; Li C.; Liu Y.; Martono H.; Sanada C.; Tatsuma A.; Velasco-Forero S.; Xu C.
This paper reports the results of the SHREC'14 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by g...

CNR@People | DOI: 10.2312/3dor.20141057
2014, Conference proceedings
Similarity assessment for the analysis of 3D artefacts
S. Biasotti, A. Cerri, B. Falcidieno, and M. Spagnuolo
Archaeological artefacts are often classified in homogeneous groups, with respect to their origin, use, age, etc., interms of their physical traits, i.e., colour, material, design pattern, form, shape...

CNR@People | DOI: 10.2312/gch.20141313
2013, Conference proceedings
Complexity Fusion for Indexing Reeb Digraphs
F. Escolano, E. R. Hancock, and S. Biasotti
In this paper we combine different quantifications of heatdiffusion-thermodynamic depth on digraphs in order to match directedReeb graphs for 3D shape recognition. Since different real valued function...

CNR@People | DOI: 10.1007/978-3-642-40261-6_14
2013, Conference proceedings
Learning Kernels on Extended Reeb Graphs for 3D shape classification and retrieval
V. Barra and S. Biasotti
This paper addresses 3D shape classification and retrieval in terms of supervised selection of the most significantfeatures in a space of attributed graphs encoding different shape characteristics. Fo...

CNR@People | DOI: 10.2312/3DOR/3DOR13/025-032
2013, Conference proceedings
SHREC'13 Track: Retrieval on textured 3D models
A. Cerri, S. Biasotti, M. Abdelrahman, J. Angulo, K. Berger, L. Chevallier, M. El-Melegy, A. Farag, F. Lefebvre,A. Giachetti, H. Guermoud, Y.-J. Liu, S. Velasco-Forero, JR. Vigouroux, C.-X. Xu, and J.-B. Zhang
This contribution reports the results of the SHREC 2013 track: Retrieval on Textured 3D Models, whose goal is toevaluate the performance of retrieval algorithms when models vary either by geometric sh...

CNR@People | DOI: 10.2312/3DOR/3DOR13/073-080
2012, Conference proceedings
SHREC'12 Track: Stability on Abstract Shapes
S. Biasotti, X. Bai, B. Bustos, A. Cerri, D. Giorgi, L. Li, M. Mortara, I. Sipiran, S. Zhang, and M. Spagnuolo
This contribution reports the results of the SHREC 2012 track: Stability on Abstract Shapes. This track saw six registrations of which only three participants effectively sent the results of their run...

CNR@People | DOI: 10.2312/3DOR/3DOR12/101-107
2012, Conference posters
Surface quadrangulations using scalar functions
J-M. Favreau, S. Biasotti, V. Barra, and M. Spagnuolo
N/A

CNR@People
2012, Conference proceedings
The Hitchhiker's guide to the galaxy of mathematical tools for shape analysis
S. Biasotti, B. Falcidieno, D. Giorgi, and M. Spagnuolo
A practical guide for researchers who are exploring the new frontiers of 3D shape analysis and managing the complex mathematical tools that most methods rely on. Many research solutions come from adva...

CNR@People | DOI: 10.1145/2343483.2343499
2011, Conference proceedings
Robustness and modularity of 2-dimensional size-functions functions ? An experimental study
S. Biasotti, A. Cerri, and D. Giorgi
This paper deals with the concepts of 2-dimensional size function and 2-dimensional matching distance. These are two ingredients of (2-dimensional) Size Theory, a geometrical/topological approach to s...

CNR@People | DOI: 10.1007/978-3-642-23672-3_5
2010, Meeting abstracts
2-dimensional matching distance for surface mesh comparison
S. Biasotti, A. Cerri, P. Frosini, and D. Giorgi
N/A

CNR@People
2010, Meeting abstracts
Extended Reeb graph description of volume data
S. Biasotti, B. Falcidieno, and M. Spagnuolo
Reeb graphs are compact shape descriptors that convey topological information relatd to the level sets of a function defined on the shape. They have been mainly used to describe surfaces and their app...

CNR@People
2010, Conference proceedings
High-dimensional Spectral Feature Selection for 3D Object Recognition based on Reeb Graphs
B. Bonev, F. Escolano, D. Giorgi, and S. Biasotti
In this work we evaluate purely structural graph measures for 3D object classification. We extract spectral features from different Reeb graph representations and successfully deal with a multi-class ...

CNR@People | DOI: 10.1007/978-3-642-14980-1_11
2010, Conference proceedings
Information-theoretic Feature Selection from Unattributed Graphs
B. Bonev, F. Escolano, D. Giorgi, and S. Biasotti
In this work we evaluate purely structural graph measures for 3D objects classification. We extract spectral features from different Reeb graph representations. Information-theoretic feature selection...

CNR@People | DOI: 10.1109/ICPR.2010.233
2010, Meeting abstracts
n-loop computation using scalar functions
J-M. Favreau , S. Biasotti, V. Barra, and M. Spagnuolo
N/A

CNR@People
2010, Conference proceedings
Shape comparison through mutual distances of real functions
S. Biasotti
Spectral analysis provides a library of shape description elements intrinsically defined by the shape itself. Among all, the eigenfunctions of the Laplace-Beltrami operator can be thought as a set of ...

CNR@People | DOI: 10.1145/1877808.1877816
2009, Conference proceedings
A critical assessment of 2D and 3D face recognition algorithms
Giorgi D.; Attene M.; Patanè G.; Marini S.; Pizzi C.; Biasotti S.; Spagnuolo M.; Falcidieno B.; Corvi M.; Usai L.; Roncarolo L.; Garibotto G.
We present the results of a project aimed to evaluate2D and 3D face recognition algorithms. In particular, we focusedon the potentialities of 3D-based techniques to overcometypical limitations of 2D m...

CNR@People | DOI: 10.1109/AVSS.2009.82
2009, Conference proceedings
Riconoscimento di volti con tecniche 3D per controlli di sicurezza
Giorgi D., Attene M., Patanè G., Marini S., Pizzi C., Biasotti S., Spagnuolo M., Falcidieno B., Usai L.
N/A

CNR@People
2009, Conference proceedings
SHREC?09 Track: Structural Shape Retrieval on Watertight Models
Hartveldt J., Spagnuolo M. , Axenopoulos A., Biasotti S., Daras P. , Dutagaci H., Furuya T., Godil A., Li X., Mademlis A. , Marini S., Napoleon T., Ohbuchi R., Tezuka M.
N/A

CNR@People
2008, Conference proceedings
Comparing shapes in multidimensional size theory
Biasotti S., Cerri A., Frosini P., Giorgi D., Landi C.
N/A

CNR@People
2008, Conference communications
Computation and application issues in multidimensional shape description
Giorgi D., Biasotti S., Cerri A., Frosini P., Landi C.
N/A

CNR@People
2008, Conference proceedings
Computational Topology for 3D Shape Description and Matching
Biasotti S., Giorgi D., Patanè G., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2008, Conference posters
Computational topology techniques for Shape Modelling and Reasoning
Falcidieno B., Spagnuolo M., Biasotti S., Giorgi D.
N/A

CNR@People
2008, Conference communications
Exploring 3D shapes through shape descriptors
Biasotti S.
N/A

CNR@People
2008, Conference communications
Laplacian eigenfunctions for Shape Analysis and Abstraction
Patanè G., Biasotti S., Giorgi D., Spagnuolo M.
N/A

CNR@People
2008, Conference communications
Reeb graphs for shape analysis and synthesis
Biasotti S., Giorgi D., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2008, Conference proceedings
Shape retrieval contest 2008: Stability of watertight models
Silvia Biasotti; Marco Attene
In this report we present the results of the Stability on WatertightModels Track. The aim of this track is to evaluate the stability ofalgorithms with respect to input perturbations that modify the re...

CNR@People | DOI: 10.1109/SMI.2008.4547975
2007, Conference proceedings
3D classification via structural prototypes
Biasotti S.; Giorgi D.; Marini S.; Spagnuolo M.; Falcidieno B.
We describe a 3D shape classification framework, and discuss the performance of selective and creative prototypes extracted from structural descriptors.

CNR@People | DOI: 10.1007/978-3-540-77051-0_16
2007, Conference proceedings
3D Scene Comparison using Topological Graphs
Paraboschi L. , Biasotti S. e Falcidieno B.
N/A

CNR@People
2007, Conference proceedings
3D Shape Description and matching based on properties of real functions
Biasotti S.; Falcidieno B.; Frosini P.; Giorgi D.;Landi C.; Patané G.; Spagnuolo M.
This tutorial attempts to formalize a variety of methods for 3D shape matching in an abstract conceptual framework, that distinguishes among the three main components of a shape matching system (i.e. ...

CNR@People | Link
2007, Conference proceedings
3D Shape Matching and Classification
Spagnuolo M., Marini S., Giorgi D., Biasotti S.
N/A

CNR@People
2007, Conference proceedings
Analysis and Comparison of Real Functions on Triangulated Surfaces
Biasotti S.; Patane' G.; Spagnuolo M.; Falcidieno B.
The study of geometric and topological properties of a triangulated surfaceMis ubiquitous in geometry and shape processing. In these contexts, different techniques in research areas such as shape abst...

CNR@People
2007, Conference proceedings
Comparing Sets of 3D Digital Shapes through Topological Structures
Paraboschi L.; Biasotti S.; Falcidieno B.
New technologies for shape acquisition and rendering of digital shapes have simplified the process of creating virtual scenes; nonetheless, shape annotation, recognition and manipulation of both the c...

CNR@People | DOI: 10.1007/978-3-540-72903-7_11
2007, Conference communications
Confronto di forma mediante funzioni di taglia e gruppi di omologia persistente multidimensionali
Biasotti S., Cagliari F., Cerri A., Di Fabio B., Ferri M., Frosini P., Giorgi D. e Landi C.
N/A

CNR@People
2007, Conference posters
Differential topology methods for shape description
Biasotti S., Giorgi D., Patané G. , Spagnuolo M. , Falcidieno B.
N/A

CNR@People
2007, Conference proceedings
k-dimensional Size Functions for Shape Description and Comparison
Cerri A.; Biasotti S.; Giorgi D.
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or higher dimensions having a...

CNR@People | DOI: 10.1109/ICIAP.2007.4362873
2007, Conference communications
Multidimensional size functions and persistence homology groups for shape comparisons
Biasotti S., Cagliari F. , Cerri A., Di Fabio B., Ferri M. , Frosini P., Giorgi D. e Landi C.
N/A

CNR@People
2007, Conference communications
Multidimensional Size Theory
Biasotti S., Cerri A., Frosini P. , Giorgi D., Landi C.
N/A

CNR@People
2007, Conference posters
Shape comparison by means of multidimensional size functions
Biasotti S., Cerri A., Frosini P., Giorgi D., Landi C.
N/A

CNR@People
2006, Conference proceedings
A comparison Framework for 3D Object Classification Methods
S. Biasotti; D. Giorgi; S. Marini; M. Spagnuolo; B. Falcidieno
3D shape classification plays an important role in the process of organizing and retrieving models in large databases. Classifying shapesmeans to assign a query model to the most appropriate class of ...

CNR@People | DOI: 10.1007/11848035_42
2006, Conference posters
Analysis of Scalar fields on Triangulated Surfaces
Biasotti S., Patané G.,Spagnuolo M., Falcidieno B.
N/A

CNR@People
2006, Conference posters
Partial Matching by Structural Descriptors
Marini S., Biasotti S., Falcidieno B.
N/A

CNR@People
2006, Conference proceedings
Size functions for 3D shape retrieval
Biasotti S.; Giorgi D.; Spagnuolo M.; Falcidieno B.
This paper sketches a technique for 3D model retrieval built on size functions, a mathematical tool to compare shapes. Size functions are introduced for the first time to discriminate among 3D objects...

CNR@People | Link
2006, Conference posters
Structural descriptors for 3D shapes
Spagnuolo M., Biasotti S.,Falcidieno B., Marini S.
N/A

CNR@People
2006, Conference proceedings
Sub-part correspondence using structure and geometry
Biasotti S., Marini S.
N/A

CNR@People
2006, Conference proceedings
Topological, Geometric and Structural Approaches to Enhance Shape Information
Attene M.; Biasotti S.; Mortara M.; Patané G.; Spagnuolo M.; Falcidieno B.
Nowadays, the increasing power of hardware components has made available a huge amount of digital models, more and more complex and detailed, as needed in many innovative research fields such as medic...

CNR@People | DOI: 10.2312/LocalChapterEvents/ItalianChapConf2006/007-013
2005, Conference proceedings
3D Shape Matching and Retrieval by Structural Descriptors
Spagnuolo M., Biasotti S., Marini S., Falcidieno B.
N/A

CNR@People
2005, Conference proceedings
Topologia computazionale e analisi della forma
Biasotti S., Falcidieno B.
N/A

CNR@People
2004, Conference posters
A multi-resolutive extraction of geometric descriptors for virtual shapes and humans
Biasotti S., Falcidieno B., Marini S., Mortara M., Patané G., Spagnuolo M., Tangelder H.
N/A

CNR@People
2004, Conference proceedings
Animatable Human Body Reconstruction from 3D Scan Data using Templates
Laurent Moccozet, Fabien Dellas, Nadia Magnenat-Thalmann, Silvia Biasotti, Michela Mortara, Bianca Falcidieno, Patrick Min, Remco Veltkamp
Many detailed 3D datasets of human bodiesare available, and with current scanning technology,new ones are relatively easy to produce. Asa result, more realistic looking animations becomepossible, but ...

CNR@People
2004, Conference communications
Computational topology methods for 3D shape modelling
Biasotti S., Falcidieno B., Spagnuolo M.
N/A

CNR@People
2004, Conference proceedings
Reeb graph representation of surfaces with boundary
Biasotti S.
Reeb graphs can be used in many applications to construct simple graph-like sketches of shapes, which retain the topology/connectivity of the original shape. In this paper, our Reeb graph representati...

CNR@People | DOI: 10.1109/SMI.2004.1314530
2022, Curatorship of journal issues
Foreword to the special issue on 3D object retrieval 2021 workshop (3DOR2021)
S. Biasotti, R.M. Dyke, Y.-K. Lai,P.L. Rosin and R.Veltkamp
N/A

CNR@People | DOI: 10.1016/j.cag.2021.10.005
2022, Curatorship of journal issues
Foreword to the Special Issue on Shape Modeling International 2021 (SMI2021)
Silvia Biasotti, Yang Liu, Bo Zhu
This special section of Computers & Graphics (C&G), featuresthe full papers presented at the Shape Modeling Internationalconference - SMI 2021 (https://smi2021.github.io/). Due to thepandemic, and for...

CNR@People | DOI: 10.1016/j.cag.2022.03.001
2022, Curatorship of journal issues
Foreword to the Special Issue on Shape Modeling International 2022 (SMI2022)
Silvia Biasotti, Ramanathan Muthuganapathy, Joerg Peters
N/A

CNR@People | DOI: 10.1016/j.cag.2022.08.011
2021, Curatorship of journal issues
Foreword to the Special Section on Smart Tool and Applications for Graphics (STAG 2020)
R. Pintus, S. Biasotti and S.Berretti
This special issue contains extended and revised versions of the best papers presented at the 7thConference on Smart Tools and Applications in Graphics (STAG 2020), held virtually on November12-13, 20...

CNR@People | DOI: 10.1016/j.cag.2021.08.002
2020, Curatorship of journal issues
Foreword to the special section on 3D object retrieval 2019
S. Biasotti, B. Falcidieno, G. Lavoué and I. Pratikakis
N/A

CNR@People | DOI: 10.1016/j.cag.2020.03.004
2019, Curatorship of conference proceedings
EG 3DOR 2019 Eurographics Workshop on 3D Object Retrieval
S. Biasotti, G. Lavoué, B. Falcidieno, and I. Pratikakis (Editors)R. C. Veltkamp (SHREC organizer)
N/A

CNR@People | DOI: 10.2312/3dor.20192005
2016, Curatorship of journal issues
Foreword to the Special Section on Smart Tools and Applications in Computer Graphics 2015
Biasotti S.; Giachetti A.; Tarini M.
Foreword to the Special Section on Smart Tools and Applications in Computer Graphics 2015.

CNR@People | DOI: 10.1016/j.cag.2016.07.005
2015, Curatorship of conference proceedings
Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
S. Biasotti, M. Tarini, and A. Giachetti (Editors)
N/A

CNR@People | DOI: 10.2312/stag.20152022
2014, Curatorship of books
Preface to Special issue on 3DOR 2013
S. Biasotti, I. Pratikakis, U. Castellani, and T. Schreck
N/A

CNR@People | DOI: 10.1007/s00371-014-1017-3
2013, Curatorship of books
Eurographics Workshop on 3D Object Retrieval, Girona, Spain, 2013. Proceedings
U. Castellani, T. Schreck, S. Biasotti, I. Pratikakis, A. Godil, and R. C. Veltkamp
This book contains the research contributions presented at the sixth Eurographics Workshop on 3DObject Retrieval (3DOR) held in Girona, Spain, on May 11, 2013. The 3DOR workshop series wasstarted in C...

CNR@People
2007, Curatorship of books
Comparing Sets of 3D Digital Shapes through Topological Structures?
Paraboschi L., Biasotti S., Falcidieno B.
N/A

CNR@People
2007, Curatorship of books
k-dimensional Size Functions for Shape Description and Comparison
Cerri A., Biasotti S., Giorgi D.
N/A

CNR@People
2004, Curatorship of books
Reeb graph representation of surfaces with boundary
Biasotti S.
N/A

CNR@People
2019, Technical report
Recognising characteristic elements through the analysis of curves on 3D models
C. Romanengo, S. Biasotti, and B. Falcidieno
We propose a new method for recognising characteristic curves on 3D shapes, identified by a set of characteristicpoints. We approximate these curves with known curves, e.g., spirals, their patterns or...

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2017, Technical report
Analysis of a multi-ring technique for 3D pattern recognition
E. Moscoso Thompson and S. Biasotti
Pattern characterization of geometric features is of great interest in the cultural heritage domain, as the styleof the some parts such beards, hairs, helms or cuirass decorations would support and en...

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2016, Technical report
Calcolo di descrittori ibridi geometria-colore per l'analisi di similarità di forme 3D
A. Raffo and S. Biasotti
Il riconoscimento e la classificazione di forme geometriche hanno molteplici applicazioni in graficacomputazionale, spaziando dallo sviluppo di search engine all'identificazione di anomalie in modelli...

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2016, Technical report
Comparing methods for the approximation of rainfall fields in environmental applications
G. Patané, A. Cerri, V. Skytt, S. Pittaluga, S. Biasotti, D. Sobrero, T. Dokken, and M. Spagnuolo
Digital environmental data are becoming commonplace and the amount of information they provide is huge, yetcomplex to process, due to the size, variety, and dynamic nature of the data captured by sens...

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2016, Technical report
Feature curve identification in archaeological fragments using an extension of the Hough transform
M. Torrente, S. Biasotti, and B. Falcidieno
The use of computer graphics techniques in cultural heritage (CH) has led to impressive improvements intechnologies related to digital acquisition and rendering of 3D CH data. Digitized artefacts are ...

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2016, Research report
GRAVITATE D3.1 Report on Shape Analysis and Matching and on Semantic Matching
S. Biasotti, A. Cerri, C. E. Catalano, B. Falcidieno, M.-L. Torrente, S. E. Middleton, L. Dorst, I. Shimshoni, A. Tal, and D. Oldman
This state of the art report describes the techniques of shape analysis, and of metadata search that have been already implemented in cultural heritage or we think are useful for the GRAVITATE project...

CNR@People
2016, Technical report
Persistence-based tracking of rainfall field maxima
S. Biasotti, A. Cerri, S. Pittaluga, D. Sobrero, and M. Spagnuolo
In this paper we propose a novel methodology for tracking the maxima of rainfall precipitation fields, whose changesin time may give interesting insights on the evolution of storms. Our approach is ba...

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2014, Research report
Deliverable D8.8.2 - Report on the IQmulus Processing Contest - Year 2
S. Biasotti, M. Attene, B.G.H. Gorte, J. Boehm, N. Paparoditis, H. Piete, and D. Kristof
The deliverable D8.8.2 is related to the Second Year's activity of the IQmulus Task 8.5, described as follows in the Description of Work (DoW):Focus of the task will be the dissemination of IQmulus re...

CNR@People
2013, Research report
D4.1.1 Development Guidelines for Data Integration and Processing - Version 1
G. Patanè (Editor), M. Spagnuolo, S.Biasotti, A. Cerri, B. Falcidieno, J. Boehm, S. Julier, D. Backes, D. Kristof, M. Belenyesi, I. Laszlo, R. Giachetta, G.Nadorm, I. Fekkete, D. Gera, T. Dokken, V. Skytt, R, Lindenbergh, B. Sirmacek, J.s Populus, and T. Bajjouk
This document is the first deliverable planned within the scope of Work Package 4 (WP4), an important component of IQmulus, whose target is the development of the services for functional and domain-sp...

CNR@People
2010, Technical report
An Information-theroretic Feature Selection Technique for Unattributed Graph Classification
B. Bonev, F. Escolano, D. Giorgi, and S. Biasotti
N/A

CNR@People
2010, Technical report
Approximating the 2-Dimensional Matching Distance
S. Biasotti, A. Cerri, D. Giorgi, and P. Frosini
Some new approximation results about the 2-dimensional matching distances are presented, leading to the formulation of an algorithm for its computation (up to an arbitrary input tolerance).

CNR@People
2009, Technical report
Adaptive Shape Chartification
S. Biasotti; G. Patane'; M. Spagnuolo; B. Falcidieno; G. Barequet
N/A

CNR@People
2009, Technical report
Graph-based Representation of Point Clouds
Natali M., Biasotti S., Patanè G., Falcidieno B.
N/A

CNR@People
2008, Technical report
Discrete Laplace-Beltrami Operators for Shape Analysis
Biasotti S., Giorgi D., Patanè G., Reuter M., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2008, Technical report
SHape REtrieval Contest 2008: Stability Track on Watertight Models
Biasotti S., Attene M.
N/A

CNR@People
2007, Technical report
k-dimensional Size Functions for Shape Description and Comparison
Biasotti S., Giorgi D., Cerri A.
N/A

CNR@People
2007, Technical report
Multidimensional size functions for shape comparison
Biasotti S., Cerri A., Frosini P., Giorgi D. , Landi C.
N/A

CNR@People
2007, Technical report
Partial Matching Track on Watertight Models
Biasotti S., Marini S. , Paraboschi L.
N/A

CNR@People
2007, Technical report
Watertight Models Track
Biasotti S., Giorgi D. e Paraboschi L.
N/A

CNR@People
2006, Technical report
3D Shape classification: a comparative framework
Biasotti S., Giorgi D,, Marini S., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2006, Technical report
Computing size functions for 3D models
Biasotti S., Giorgi D., Spagnuolo M.,Falcidieno B.
N/A

CNR@People
2006, Technical report
Confronto di forme digitali tridimensionali attraverso strutture topologiche
Paraboschi L., Biasotti S. , Falcidieno B.
N/A

CNR@People
2006, Technical report
Geometrical-topological properties of real functions for describing shapes
Biasotti S., De Floriani L., Falcidieno B., Frosini P., Giorgi D., Landi C., Papaleo L., Spagnuolo M.
N/A

CNR@People
2006, Technical report
Improvement of 3D classification performance via structural protoypes
Biasotti S, Giorgi D., Marini S., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2006, Technical report
Multi-Segmentation and Annotation of 3D Surface Meshes
Attene M., Biasotti S., Mortara M., Patané G., Robbiano F., Albertoni R., Catalano C., Marini S., Spagnuolo M., Falcidieno B.
N/A

CNR@People
2007, Software
ShapeAnnotator - Multi-segmentation and semantic annotation of 3D surface meshes
Marco Attene, Francesco Robbiano, Michela Spagnuolo, Bianca Falcidieno, Silvia Biasotti, Michela Mortara, Giuseppe Patane, Riccardo Albertorni, Chiara Catalano, Simone Marini
The ShapeAnnotator provides an interactive GUI for the inspection, segmentation and semantic annotation of 3D surface meshes. After loading a mesh and a domain of expertise formalized as an OWL ontolo...

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