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, digitalizationof text, vectorization of technical drawings, and shape-based classification of virtual fragments.

The ArchAIDE Project: results and perspectives after the first year

F. , Banterle
Co-primo
;
M. , Dellepiane
Co-primo
;
G. , Gattiglia
Co-primo
;
2017-01-01

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, digitalizationof text, vectorization of technical drawings, and shape-based classification of virtual fragments.
2017
978-3-03868-037-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/889742
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