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Documenting the State of Preservation of Historical Stone Sculptures in Three Dimensions with Digital Tools

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Pattern Recognition. ICPR International Workshops and Challenges (ICPR 2021)

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Abstract

Protection of stone heritage requires detailed records of the state-of-preservation to ensure accurate decision-making for conservation interventions. This short paper explores the topic of using digital tools to better visualize and map in three-dimensional (3D) representations the deterioration state of stone statues. Technical photography, geomatics techniques, and 3D visualization approaches are combined to propose reproducible and adaptable solutions that can support the investigation of historical materials’ degradation. The short paper reports on the application of these multi-technique approaches regarding a bust sculpture from the Accademia Carrara in Bergamo (Italy).

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Acknowledgments

This project has received funding by the European Union’s Framework Program for Research and Innovation Horizon 2020 under the H2020–Marie-Skłodowska Curie Actions–COFUND scheme (Grant Agreement 754511) and by the banking foundation Compagnia di San Paolo.

The authors would like to acknowledge the Accademia Carrara di Bergamo, and the Fondazione Centro Conservazione e Restauro dei Beni Culturali ‘La Venaria Reale’ for the generous concession of permission to publish the results about Emperor Franz Joseph I of Austria’s bust.

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Authors and Affiliations

  1. Department of Computer Science, University of Turin, Corso Svizzera 185, 10149, Turin, Italy

    Efstathios Adamopoulos

  2. Department of Architecture and Design, Polytechnic University of Turin, Viale Pier Andrea Mattioli 39, 10125, Turin, Italy

    Fulvio Rinaudo

Authors
  1. Efstathios Adamopoulos
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  2. Fulvio Rinaudo
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Correspondence to Efstathios Adamopoulos .

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Editors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Alberto Del Bimbo

  2. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Rita Cucchiara

  3. Department of Computer Science, Boston University, Boston, MA, USA

    Stan Sclaroff

  4. Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Cloud & AI, JD.COM, Beijing, China

    Tao Mei

  6. Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

    Marco Bertini

  7. Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Puebla, Mexico

    Hugo Jair Escalante

  8. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Roberto Vezzani

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Adamopoulos, E., Rinaudo, F. (2021). Documenting the State of Preservation of Historical Stone Sculptures in Three Dimensions with Digital Tools. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12663. Springer, Cham. https://doi.org/10.1007/978-3-030-68796-0_48

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  • DOI: https://doi.org/10.1007/978-3-030-68796-0_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68795-3

  • Online ISBN: 978-3-030-68796-0

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