Abstract
Abstract. For the past decades, Cultural Heritage (CH) is commonly documented by digital-based imaging and analytical techniques. This documentation is used as a support by heritage scientists to study and help the preservation of CH objects. Multiple techniques or modalities are usually required and applied to complete the documentation and the possible diagnostic from it. In this paper we explored multimodal imaging strategies to survey, analyse and share semantically enriched digital replicas. Three challenging case-studies from the SUMUM research project aims to illustrate efficient multi-source approaches in multi-scalar, multi-temporal and multi-spectral contexts. From multimodal data acquisitions, a photogrammetric-based registration method (TACO) has been developed in order to exploit a 2D/3D semantic annotation process implemented into a CH oriented collaborative web platform (AIOLI). In the exemples showed, the structure and the content of the annotations work is based from condition reports provided by conservation and restoration experts. To this end, all the documentation gathered on CH objects are either directly merged by image based registration while complementary analysis can be spatially anchored to annotations as linked resources. The dissemination part is explored by built-in AIOLI’s collaborative features or external Potree-based viewer, to enhance the accessibility of the final 3D annotated scenes for further expertises or wide-public events and purposes.
Highlights
One of the priorities in the field of Digital Cultural Heritage (DCH) is to find and use strategically appropriate tools and methods to study and document the heritage objects
The objective was to develop from ad-hoc multimodal acquisition campaigns, through dedicated processing toolbox and toward seamless integration into the a CH oriented collaborative web platform (AIOLI) semantic annotation web platform (Manuel et al 2018) an integrated framework aligned with conservation and restoration works
The data presented below do not reveal the real volume of data collected but only a subset selected for each case-study considering their relevance to the documentation scenario and issue revealed by the diagnosis of conservation state
Summary
One of the priorities in the field of Digital Cultural Heritage (DCH) is to find and use strategically appropriate tools and methods to study and document the heritage objects. Image based modeling (IBM) practices are envisioned to create thorough studies gathering in a common spatial reference system a rich documentation from complex and various multimodal imaging strategies. Considering the complexity and the uniqueness of CH objects, few scenarios were tested in which different heritage science experts intervened to build and share knowledge over a digital replica and its spatially oriented resources. According to this research aim, this article presents and summarizes the work achieved in the SUMUM research project (founded by ANR-17-CE38-0004) aiming to explore cross examination of multimodal imaging for Conservation and Restoration purposes. The objective was to develop from ad-hoc multimodal acquisition campaigns, through dedicated processing toolbox and toward seamless integration into the AIOLI semantic annotation web platform (Manuel et al 2018) an integrated framework aligned with conservation and restoration works.
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