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Francesco Fassi

Biographic Data

ID6941640
NAMEFrancesco Fassi
GIVEN NAMESFrancesco
FAMILY NAMEFassi
SIGNATUREFASSI F
AFFILIATIONSPolitecnico di Milano
ORCID0000-0001-6555-8310
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The Application of Three Dimensional Digital Technologies in Historic Gardens and Related Cultural Heritage

    Open Access•Fangming Li, C Achille et al.•ARTICLE•Heritage•2025

    This paper presents a comprehensive scoping review of the application of 3D digital technologies in the documentation, conservation, and management of historic gardens and related cultural heritage. By analyzing a curated selection of literature, this study assessed the current state of research, highlighting trends in publications, the geographic distribution of contributors, and the key technologies employed. Using bibliometric methods and visu…

  • Transforming Architectural Digitisation

    Open Access•Kai Zhang, Francesco Fassi•ARTICLE•Heritage•2025•References: 7

    The capture of 3D reality has demonstrated increased efficiency and consistently accurate outcomes in architectural digitisation. Nevertheless, despite advancements in data collection, 3D reality-based modelling still lacks full automation, especially in the post-processing and modelling phase. Artificial intelligence (AI) has been a significant focus, especially in computer vision, and tasks such as image classification and object recognition mi…

  • State-of-the-Art Web Platforms for the Management and Sharing of Data

    Open Access•Franco Spettu, C Achille et al.•ARTICLE•Heritage•2024

    The increasing request for digitized data among several fields, including the built environment and cultural heritage (CH), highlights the need for proficient ways to access, archive, and share 3D data and related information among users. The sector of reality capture produces accurate and reliable products that can support building management and CH maintenance, at the price of heavy and resource-demanding data. An emerging solution to this prob…

  • A Multilevel Multiresolution Machine Learning Classification Approach

    Open Access•Kai Zhang, Simone Teruggi et al.•ARTICLE•Heritage•2022

    In recent years, the investigation and 3D documentation of architectural heritage has made an efficient digitalization process possible and allowed for artificial intelligence post-processing on point clouds. This article investigates the multilevel multiresolution methodology using machine learning classification algorithms on three point-cloud projects in China: Nanchan Ssu, Fokuang Ssu, and Kaiyuan Ssu. The performances obtained by extending t…

  • Image-based techniques for the survey of mosaics in the St Mark's Basilica in Venice

    Open Access•Andrea Adami, Francesco Fassi et al.•ARTICLE•Virtual Archaeology Review•2018

    This article aims to critically examine the entire methodology of very large scale (1:1) surveying and documentation of mosaic surfaces. The term ‘survey’ should be read in its broadest and most complete and sense, including the phases of measurement and data processing as well as management and use of these data for the purposes of preservation and maintenance. The case study presented here took place at St Mark’s Basilica ( Basilica di San Marc…

No prominent works on this page.

  • Image-based techniques for the survey of mosaics in the St Mark's Basilica in Venice

    Open Access•Andrea Adami, Francesco Fassi et al.•ARTICLE•Virtual Archaeology Review•2018

    This article aims to critically examine the entire methodology of very large scale (1:1) surveying and documentation of mosaic surfaces. The term ‘survey’ should be read in its broadest and most complete and sense, including the phases of measurement and data processing as well as management and use of these data for the purposes of preservation and maintenance. The case study presented here took place at St Mark’s Basilica ( Basilica di San Marc…

  • A Multilevel Multiresolution Machine Learning Classification Approach

    Open Access•Kai Zhang, Simone Teruggi et al.•ARTICLE•Heritage•2022

    In recent years, the investigation and 3D documentation of architectural heritage has made an efficient digitalization process possible and allowed for artificial intelligence post-processing on point clouds. This article investigates the multilevel multiresolution methodology using machine learning classification algorithms on three point-cloud projects in China: Nanchan Ssu, Fokuang Ssu, and Kaiyuan Ssu. The performances obtained by extending t…

  • State-of-the-Art Web Platforms for the Management and Sharing of Data

    Open Access•Franco Spettu, C Achille et al.•ARTICLE•Heritage•2024

    The increasing request for digitized data among several fields, including the built environment and cultural heritage (CH), highlights the need for proficient ways to access, archive, and share 3D data and related information among users. The sector of reality capture produces accurate and reliable products that can support building management and CH maintenance, at the price of heavy and resource-demanding data. An emerging solution to this prob…

  • The Application of Three Dimensional Digital Technologies in Historic Gardens and Related Cultural Heritage

    Open Access•Fangming Li, C Achille et al.•ARTICLE•Heritage•2025

    This paper presents a comprehensive scoping review of the application of 3D digital technologies in the documentation, conservation, and management of historic gardens and related cultural heritage. By analyzing a curated selection of literature, this study assessed the current state of research, highlighting trends in publications, the geographic distribution of contributors, and the key technologies employed. Using bibliometric methods and visu…

  • Transforming Architectural Digitisation

    Open Access•Kai Zhang, Francesco Fassi•ARTICLE•Heritage•2025•References: 7

    The capture of 3D reality has demonstrated increased efficiency and consistently accurate outcomes in architectural digitisation. Nevertheless, despite advancements in data collection, 3D reality-based modelling still lacks full automation, especially in the post-processing and modelling phase. Artificial intelligence (AI) has been a significant focus, especially in computer vision, and tasks such as image classification and object recognition mi…

3D Surveying and Cultural Heritage (4 works) · Computer Science (4 works) · Archaeology (3 works) · Geography (3 works) · Architectural engineering (2 works) · Cultural heritage (2 works) · Data science (2 works) · Documentation (2 works) · Engineering (2 works) · Remote Sensing and LiDAR Applications (2 works)

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