Chiara Romanengo
I earned my Ph.D. in Mathematics and Applications at the University of Genoa in collaboration with CNR-IMATI, where I specialized in mathematical methods for the analysis of 3D shapes. My doctoral research focused on recognizing and representing geometric features on 3D models using the Hough transform. I previously obtained a Master's degree in Mathematics, also at the University of Genoa, graduating with a thesis on curve detection in 3D objects through the same technique. For further details, see my personal page: https://chiara-romanengo.webnode.it/
Research Activity
My research focuses on geometric modeling, shape analysis and the recognition of features on the surface of 3D models, to which I assign a mathematical representation.
The techniques I have developed are applied in various fields, including cultural heritage, CAD, and digital twins for urban contexts.
Publications
2023, Journal article
Piecewise polynomial approximation of spatial curvilinear profiles using the Hough transform
Chiara Romanengo, Ulderico Fugacci, Bianca Falcidieno, Silvia Biasotti
Given a curvilinear profile Prepresented as a set of points in the space R 3 and four fam- ilies of low-degree polynomial curves that respectively depend on the parameters in the space R 4 , our goal ...
CNR@People | DOI: 10.1016/j.amc.2023.128213
2023, Journal article
Recognizing geometric primitives in 3D point clouds of mechanical CAD objects
Romanengo C., Raffo A., Biasotti S., Falcidieno B.
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 presen...
CNR@People | DOI: 10.1016/j.cad.2023.103479
2022, Journal article
Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects
C. Romanengo, A. Raffo, Y. Qie, N. Anwer, B. Falcidieno
We propose Fit4CAD, a benchmark for the evaluation and comparison of methods forfitting simple geometric primitives in point clouds representing CAD objects. Thisbenchmark is meant to help both method...
CNR@People | DOI: 10.1016/j.cag.2021.09.013
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.2022.114504
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
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
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
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
Piecewise polynomial approximation of spatial curvilinear profiles using the Hough transform
Chiara Romanengo, Ulderico Fugacci, Bianca Falcidieno, Silvia Biasotti
Given a curvilinear profile Prepresented as a set of points in the space R 3 and four fam- ilies of low-degree polynomial curves that respectively depend on the parameters in the space R 4 , our goal ...
CNR@People | DOI: 10.1016/j.amc.2023.128213
2023, Journal article
Recognizing geometric primitives in 3D point clouds of mechanical CAD objects
Romanengo C., Raffo A., Biasotti S., Falcidieno B.
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 presen...
CNR@People | DOI: 10.1016/j.cad.2023.103479
2022, Journal article
Fit4CAD: A point cloud benchmark for fitting simple geometric primitives in CAD objects
C. Romanengo, A. Raffo, Y. Qie, N. Anwer, B. Falcidieno
We propose Fit4CAD, a benchmark for the evaluation and comparison of methods forfitting simple geometric primitives in point clouds representing CAD objects. Thisbenchmark is meant to help both method...
CNR@People | DOI: 10.1016/j.cag.2021.09.013
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.2022.114504
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
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
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
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
2023, Meeting abstracts
3D FEATURE RECOGNITION FOR THE ASSESSMENT OF BUILDINGS' ENERGY EFFICIENCY
Daniela Cabiddu, Michela Mortara, Chiara Romanengo, Andreas Scalas, Alice Bellazzi, Lorenzo Belussi,Ludovico Danza, and Matteo Ghellere
The real assets, procedures, systems,and subsystems of a city can be virtually represented throughan urban digital twin(DT),which integrates heterogeneous data to learn and evolve with the physical ci...
CNR@People
2023, Conference proceedings
Mathematical Methods for the Shape Analysis and Indexing of Tangible CH Artefacts
Elia Moscoso Thompson, Chiara Romanengo, Andreas Scalas, Chiara E. Catalano, Michela Mortara, Silvia Biasotti, Bianca Falcidieno, and Michela Spagnuolo
N/A
CNR@People | DOI: 10.1007/978-981-99-3679-3_7
2023, Conference proceedings
SHREC 2023: Detection of symmetries on 3D point clouds representing simple shapes
Ivan Sipiran, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti, Gerasimos Arvanitis, Chen Chen, Vlassis Fotis, Jianfang He, Xiaoling Lv, Konstantinos Moustakas, Silong Peng, Ioannis Romanelis, Wenhao Sun, Christoforos Vlachos, Ziyu Wu, Qiong Xie
This paper presents the methods that participated in the SHREC 2023 track focused on detecting symmetries on 3D point cloudsrepresenting simple shapes. By simple shapes, we mean surfaces generated by ...
CNR@People | DOI: 10.2312/3dor.20231148
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
HT-based recognition of patterns on 3D shapes using a dictionary of mathematical curves
C. Romanengo, S. Biasotti, and B. Falcidieno
Characteristic curves play a fundamental role in the way a shape is perceived and illustrated. To address the curve recognitionproblem on surfaces, we adopt a generalisation of the Hough Transform (HT...
CNR@People | DOI: 10.2312/stag.20191361
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
3D FEATURE RECOGNITION FOR THE ASSESSMENT OF BUILDINGS' ENERGY EFFICIENCY
Daniela Cabiddu, Michela Mortara, Chiara Romanengo, Andreas Scalas, Alice Bellazzi, Lorenzo Belussi,Ludovico Danza, and Matteo Ghellere
The real assets, procedures, systems,and subsystems of a city can be virtually represented throughan urban digital twin(DT),which integrates heterogeneous data to learn and evolve with the physical ci...
CNR@People
2023, Conference proceedings
Mathematical Methods for the Shape Analysis and Indexing of Tangible CH Artefacts
Elia Moscoso Thompson, Chiara Romanengo, Andreas Scalas, Chiara E. Catalano, Michela Mortara, Silvia Biasotti, Bianca Falcidieno, and Michela Spagnuolo
N/A
CNR@People | DOI: 10.1007/978-981-99-3679-3_7
2023, Conference proceedings
SHREC 2023: Detection of symmetries on 3D point clouds representing simple shapes
Ivan Sipiran, Chiara Romanengo, Bianca Falcidieno, Silvia Biasotti, Gerasimos Arvanitis, Chen Chen, Vlassis Fotis, Jianfang He, Xiaoling Lv, Konstantinos Moustakas, Silong Peng, Ioannis Romanelis, Wenhao Sun, Christoforos Vlachos, Ziyu Wu, Qiong Xie
This paper presents the methods that participated in the SHREC 2023 track focused on detecting symmetries on 3D point cloudsrepresenting simple shapes. By simple shapes, we mean surfaces generated by ...
CNR@People | DOI: 10.2312/3dor.20231148
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
HT-based recognition of patterns on 3D shapes using a dictionary of mathematical curves
C. Romanengo, S. Biasotti, and B. Falcidieno
Characteristic curves play a fundamental role in the way a shape is perceived and illustrated. To address the curve recognitionproblem on surfaces, we adopt a generalisation of the Hough Transform (HT...
CNR@People | DOI: 10.2312/stag.20191361
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
