Chiara Eva CATALANO | Silvia BIASOTTI | Andrea REPETTO | Michela SPAGNUOLO
(CNR IMATI, Genova, Italy)

Keywords: Shape analysis; Annotation; 3D models

Nowadays knowledge technologies guarantee a digital and extensive documentation of many different aspects of complex assets as well as of contextual information in very diverse fields, such as Cultural Heritage (CH). Furthermore, the potential of computer vision and computer graphics methodologies to support the research in CH has recently become more evident: 3D modelling, processing and analysis are now mature enough to allow the management of 3D digitized objects as if they were physical, and then conducting specialised qualitative and quantitative analyses to assist researchers in the field. Bringing geometric and semantic modelling together is the next challenge towards a real digital heritage science.
The talk will present the methodological approach adopted in GRAVITATE, covering both semantic and geometric aspects. In particular, the computational techniques selected for the geometric characterisation of digital resources will be described. The set of properties refers to the physical aspect of fragments, such as shape, colour, or decorations, and aims at supporting the archaeological research with a quantitative approach.
On the semantic side, the part-based annotation of 3D cultural resources will be discussed, where controlled SKOS vocabularies, aligned and mapped to CIDOC CRM, have been defined to describe the properties and the relationships between the parts of the assets, and the overall context of the archaeological collections under investigation.

Relevance for the conference: The analysis and documentation of digital artefact perfectly fit the scope of Visual Heritage.
Relevance for the session: The integration of shape analysis techniques and knowledge technologies is one of the core objectives of GRAVITATE.
Innovation: The integration of shape analysis techniques and knowledge technologies allows a quantitative documentation of CH digital resources.
• Torrente, M.L., Biasotti, S., and Falcidieno, B. (2018). Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms. Pattern Recognition, 73, 111-130.
• C.E. Catalano, A. Repetto, M. Spagnuolo (2017), A dashboard for the analysis of tangible heritage artefacts: a case study in archaeology, EUROGRAPHICS Workshop on Graphics and Cultural Heritage, Graz, Austria, 27-29, 2017.