Logo Oapen
  • Join
    • Deposit
    • For Librarians
    • For Publishers
    • For Researchers
    • Funders
    • Resources
    • OAPEN
        View Item 
        •   OAPEN Home
        • View Item
        •   OAPEN Home
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        3D Research Challenges in Cultural Heritage V

        Paradata, Metadata and Data in Digitisation

        Thumbnail
        Download PDF Viewer
        Web Shop
        Contributor(s)
        Ioannides, Marinos (editor)
        Baker, Drew (editor)
        Agapiou, Athos (editor)
        Siegkas, Petros (editor)
        Collection
        EU collection
        Language
        English
        Show full item record
        Abstract
        This open access book presents a collection of papers focussing on 3D digitisation in the domain of cultural heritage. The use of data acquisition technologies in digitising cultural heritage holds great potential for preserving and disseminating the history of mankind. However, to exploit these opportunities in full, comprehensive guidelines for documenting the process of digitisation are required. Only then can the efficiency and credibility of digital representations be assured. A major focus of the 16 papers included in this State-of-the-Art Survey is on all aspects of the documentation of the digitisation process, i.e., the paradata, which, alongside the metadata, is critical to the scientific rigour, replicability and sustainability of digital heritage resources. The volume provides a useful resource for computer scientists, surveyors, archaeologists, architects, museologists and engineers.
        URI
        https://library.oapen.org/handle/20.500.12657/97019
        Keywords
        Digital Heritage; Metadata; Paradata; 3D Data; 3D Digitization; Digital Documentation; Photogrammetry; Extended Reality; Digital Cultural Heritage; Digital Twin
        DOI
        10.1007/978-3-031-78590-0
        ISBN
        9783031785900, 9783031785900, 9783031785894
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2025
        Grantor
        • European Commission - [...]
        Imprint
        Springer Nature Switzerland
        Series
        Lecture Notes in Computer Science, 15190
        Classification
        Image processing
        Information retrieval
        Data warehousing
        Applied computing
        Pages
        198
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

        Browse

        All of OAPENSubjectsPublishersLanguagesCollections

        My Account

        LoginRegister

        Export

        Repository metadata
        Logo Oapen
        • For Librarians
        • For Publishers
        • For Researchers
        • Funders
        • Resources
        • OAPEN

        Newsletter

        • Subscribe to our newsletter
        • view our news archive

        Follow us on

        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

        OAPEN is based in the Netherlands, with its registered office in the National Library in The Hague.

        Director: Niels Stern

        Address:
        OAPEN Foundation
        Prins Willem-Alexanderhof 5
        2595 BE The Hague
        Postal address:
        OAPEN Foundation
        P.O. Box 90407
        2509 LK The Hague

        Websites:
        OAPEN Home: www.oapen.org
        OAPEN Library: library.oapen.org
        DOAB: www.doabooks.org

         

         

        Export search results

        The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

        A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

        To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

        After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.