The ArchAIDE Project: Results and Perspectives After the First Year
dc.contributor.author | Banterle, Francesco | en_US |
dc.contributor.author | Dellepiane, Matteo | en_US |
dc.contributor.author | Evans, Tim | en_US |
dc.contributor.author | Gattiglia, Gabriele | en_US |
dc.contributor.author | Itkin, Barak | en_US |
dc.contributor.author | Zallocco, Massimo | en_US |
dc.contributor.editor | Tobias Schreck and Tim Weyrich and Robert Sablatnig and Benjamin Stular | en_US |
dc.date.accessioned | 2017-09-27T06:39:39Z | |
dc.date.available | 2017-09-27T06:39:39Z | |
dc.date.issued | 2017 | |
dc.description.abstract | The ArchAIDE project is a Horizon 2020 project that has the main goal to digitally support the day-to-day operations on the field of archaeologists. This allows them to reduce time and costs of delivering an accurate and quick classification of ancient pottery artifacts. To effectively reach such ambitious goal, the project has several sub-goals: (semi-)automatic digitalization of archaeological catalogs, a mobile app to be used on site for live classification of sherds with the generation of a complete potsherds identity card (ready for print), and an on-line database with real-time visualization of data. In this paper, we describe the work carried out during the first year of life of this project. The main focus is on the procedure for digitizing paper catalogs in an automatic way, and more precisely we will discuss: archeologist's methodologies, digitalization of text, vectorization of technical drawings, and shape-based classification of virtual fragments. | en_US |
dc.description.sectionheaders | Projects, Tools, and Case Studies | |
dc.description.seriesinformation | Eurographics Workshop on Graphics and Cultural Heritage | |
dc.identifier.doi | 10.2312/gch.20171308 | |
dc.identifier.isbn | 978-3-03868-037-6 | |
dc.identifier.issn | 2312-6124 | |
dc.identifier.pages | 161-164 | |
dc.identifier.uri | https://doi.org/10.2312/gch.20171308 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/gch20171308 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Image processing | |
dc.subject | Graphics systems and interfaces | |
dc.subject | Machine learning approaches | |
dc.subject | Information systems | |
dc.subject | Data management systems | |
dc.title | The ArchAIDE Project: Results and Perspectives After the First Year | en_US |
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