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Data Representation, Digital Stereotomy and Virtual Museums at the VIDE Laboratory

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Proceedings of the 2nd International and Interdisciplinary Conference on Image and Imagination (IMG 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1140))

Abstract

Part of the research infrastructure IR.IDE (Research Infrastructure Integral Design Environment), the VIDE (Vision Integral Design Environment) laboratory aims at researching the emerging questions of representing projects of architecture, art, multimedia and cinema. Cultural Heritage is involved in many of these questions, therefore a specific focus is on the safeguard and promotion of Heritage by means of digital tools employed in survey, algorithmic and BIM 3D modeling, digital manufacturing and Immersive Technologies. VIDE, and more generally IR.IDE, are particularly interested in the Made in Italy context.

One of the lines of research investigates the relationships between drawing and big data, both theoretically and through designing the features of a database which combines information on multiple semantic layers. Another research deals with the modernization of stereotomic techniques, by means of tools coming from digital modeling and 3D printing, in order to build an algorithm capable of automatizing innovative design processes. The other field researches the requirements for a Virtual Museum of Venice, in primis suitable for showing the architectural and urban transformations of the city, by means of an interactive database.

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Acknowledgements

The activity presented in the paper is part of the research grant of IR.IDE Infrastructure of research.

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Correspondence to Giuseppe D’Acunto .

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D’Acunto, G., Bergamo, F., Bortot, A., Friso, I. (2020). Data Representation, Digital Stereotomy and Virtual Museums at the VIDE Laboratory. In: Cicalò, E. (eds) Proceedings of the 2nd International and Interdisciplinary Conference on Image and Imagination. IMG 2019. Advances in Intelligent Systems and Computing, vol 1140. Springer, Cham. https://doi.org/10.1007/978-3-030-41018-6_81

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  • DOI: https://doi.org/10.1007/978-3-030-41018-6_81

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41017-9

  • Online ISBN: 978-3-030-41018-6

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