(MAP (UMR CNRS/MCC 3495), Marseille, France)

Archaeologists, architects, engineers, materials specialists, teachers, curators and restorers of cultural property, contribute to the daily knowledge and conservation of heritage artefacts. The management of multi-dimensional and multi-format data introduces new challenges, in particular the development of relevant analysis and interpretation methods, the sharing and correlation of heterogeneous data among several actors and contexts, and the centralised archiving of documentation results. Despite their different approaches and tools for observation, description and analysis, the actors of cultural heritage documentation all have a common interest and central focus: the heritage object, the physical one, whether it is a site, a building, a sculpture, a painting, a work of art, or an archaeological fragment. This is the starting point of Aïoli, a reality-based 3D annotation platform, which allows a multidisciplinary community to build semantically-enriched 3D descriptions of heritage artefacts from simple images and spatialised annotations coupled with additional resources. Developed by the CNRS-MAP Lab, this platform introduces an innovative framework for the comprehensive, large-scale collaborative documentation of cultural heritage by integrating state-of-the-art technological components (fully automatic image-based 3D reconstruction, 2D-3D spreading and correlation of semantic annotations, multi-layered analysis of qualitative and quantitative attributes, …) within a cloud infrastructure accessible via web interfaces from PCs, tablets and smartphones online and onsite. Aïoli introduces an original informative linkage between the physical object space and its digital representation by integrating: • An incremental image-based 3D spatialisation process to manage the geometric merging of several images coming from different actors at different temporal states; • A 2D/3D annotation framework enabling users to draw, visualise and register relevant surface regions by handling simple 2D images spatially oriented around a dynamic 3D representation; • A multi-layered morphology-based data structuring model to accurately describe real objects in all their geometric complexity and according to multidisciplinary observations. Further information on: By merging the presentation of features with the manipulation of real data, this tutorial allow participants to discover the platform, its potential uses, as well as the basic commands to collect, process, analyse, structure and share data. Envisaged schedule: First part (80 minutes) – Basic principles & general approach – Projects management (personal account, collaborators, sharing options, …) – Acquisition protocols (incremental image-based 3D spatialisation process) Coffee break (20 minutes) Second part (80 minutes) – Multi-layered 2D/3D annotation – Data structuring (layers, attributes, values, file attachments, …) – Sharing results