Ioannides Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection

von

8th International Conference, EuroMed 2020, Virtual Event, November 2–5, 2020, Revised Selected Papers

Preis unbekannt

Buch in deiner Nähe kaufen


...oder deine aktuelle Postleitzahl eingeben:
oder

Beschreibung

This book constitutes the refereed post-conference proceedings of the 8th International Conference on Digital Heritage, EuroMed 2020, held virtually in November 2020.

The 37 revised project papers and 30 revised short papers presented were carefully reviewed and selected from 326 submissions. The papers are on topics such as digital data acquisition technologies in CH/2D and 3D data capture methodologies and data processing; remote sensing for archaeology and cultural heritage management and monitoring; interactive environments and applications; reproduction techniques and rapid prototyping in CH; e-Libraries and e-Archives in cultural heritage; virtual museum applications (e-Museums and e-Exhibitions); visualisation techniques (desktop, virtual and augmented reality); storytelling and authoring tools; tools for education; 2D and 3D GIS in cultural heritage; and on-site and remotely sensed data collection.


Autor*in

Marinos Ioannides

Themen in »Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection«

3D imaging 3D modeling artificial intelligence computer vision cultural heritage digital preservation digitization gis hci human-computer interaction image processing signal processing user interfaces virtual reality

Stimmen zu »Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection«

Details

ISBN: 9783030730437
Verlag: Springer International Publishing
Erscheinung: 13.04.2021

Link teilen


Über buchnah.de | Die Buchhandlungen | Die Verlage | Impressum & Kontakt | Datenschutz | Presse


Auf dieser Seite kannst Du Buchhandlungen in der Nähe finden