A metadata enriched system for the documentation of multi-modal digital imaging surveys

In the field of Digital Heritage Studies, data provenance has always been an open and challenging issue. As Cultural Heritage objects are unique by definition, the methods, the practices and the strategies to build digital documentation are not homogeneous, universal or standardized. Metadata is a minimalistic  yet powerful form to source and describe a digital document. They are often required or mandatory at an advanced stage of a Digital Heritage project. Our approach is to integrate since data capture steps meaningful information to document a Digital Heritage asset as it is moreover being composed nowadays from multiple sources or multimodal imaging surveys. This article exposes the methodological and technical aspects related to the ongoing development of MEMoS; standing for Metadata Enriched Multimodal documentation System. MEMoS aims to contribute to data provenance issues in current multimodal imaging surveys. It explores a way to document CH oriented capture data sets with a versatile descriptive metadata scheme inspired from the W7 ontological model. In addition, an experiment illustrated by several case studies, explores the possibility to integrate those metadata encoded into 2D barcodes directly to the captured image set. The article lays the foundation of a three parted methodology namely describe - encode and display toward metadata enriched documentation of CH objects

Imagerie numérique et conservation-restauration : état de l’art et perspectives

L’imagerie scientifique est un outil incontournable des sciences de la conservation-restauration. La modification du support de la photographie, devenu numérique, le développement du rendu tridimensionnel qualitatif et quantitatif de l’image ont transformé la photographie technique en un outil d’investigation non destructif à part entière, indispensable et complémentaire des approches physiques et physico-chimiques classiques et en un outil-support de documentation. L’ensemble des développements et travaux menés en imagerie scientifique et sur l’intégration dans des plateformes collaboratives d’annotation sémantique 3D permet, outre une production plus facile de documents, de mettre en synergie les résultats provenant de différentes techniques d’analyse. Elle va modifier, dans un futur proche, l’approche sur le terrain des acteurs de la conservation et conduire à une meilleure synergie interprofessionnelle. Ils auront ainsi la possibilité de mieux mettre en cohérence leurs observations, leurs conclusions quant aux analyses faites à différentes échelles, dans une dynamique temporelle qui intègre les données de la restauration, de son histoire passée. À terme, et par l’intégration des données environnementales, ces plateformes seront un outil de suivi de l’évolution de l’état matériel du bien culturel et aussi de transmission des connaissances vers un public large.Technical imaging has always been an essential tool in conservation science. Thanks to today’s digital photography and its quantitative and qualitative tridimensional aspects, this imaging has become an autonomous and vital nondestructive instrument that complements classic physical and chemical analyses. It is also an essential tool for documentation purposes. Results coming from different techniques of analysis can now be synthesized by means of new developments in technical imaging and their insertion into collaborative 3D semantic annotation platforms. Technical imaging can modify the infield approach of conservation professionals and will help lead to better interprofessional dialogue in the future. Conservation professionals will have the assurance of better consistency in their observations, which can cover different time frames for restoration projects and historical data and conclusions drawn from analyses made at different scales. In the long term and after integration of environmental data, these platforms will become monitoring tools dedicated to following the state of conservation of cultural heritage objects and a tool for transmitting knowledge about these objects to a wider audience

A Robust and Versatile Pipeline for Automatic Photogrammetric-Based Registration of Multimodal Cultural Heritage Documentation

Imaging techniques and Image Based-Modeling (IBM) practices in the field of Cultural Heritage (CH) studies are nowadays no longer used as one-shot applications but as various and complex scenarios involving multiple modalities; sensors, scales, spectral bands and temporalities utilized by various experts. Current use of Structure from Motion and photogrammetric methods necessitates some improvements in iterative registration to ease the growing complexity in the management of the scientific imaging applied on heritage assets. In this context, the co-registration of photo-documentation among other imaging resources is a key step in order to move towards data fusion and collaborative semantic enrichment scenarios. This paper presents the recent development of a Totally Automated Co-registration and Orientation library (TACO) based on the interoperability of open-source solutions to conduct photogrammetric-based registration. The proposed methodology addresses and solves some gaps in term of robustness and versatility in the field of incremental and global orientation of image-sets dedicated to CH practices

Estudio técnico de las pinturas murales de Germolles: la contribución de las técnicas de imagen

[EN] The Château de Germolles is one of the rare palace in France dating from the 14th century. The noble floor is decorated with wall paintings that are a unique example of courtly love spirit that infused the princely courts of the time. After being concealed sometime in the 19th century, the paintings were rediscovered and uncovered in the middle of the 20th century and partly restored at the end of the 1990s. No scientific documentation accompanied these interventions and important questions, such as the level of authenticity of the mural decorations and the original painting technique(s) used in the medieval times remained unanswered. The combined scientific and financial supports of COSCH Cost Action and DRAC-Burgundy enabled to study Germolles’ wall paintings using some of the most innovative imaging and analytical techniques and to address some of the questions raised. The study provided significant information on the material used in the medieval times and on the conservation condition of the paintings. The data collected is vast and varied and exposed the owners of the property to the challenges of data management.[ES] El castillo de Germolles es uno de los raros palacios principescos en Francia que data del siglo XIV. La planta noble está decorada con pinturas murales que son un ejemplo único del amor cortés, ese espíritu que se divulgó en las cortes de la época.Ocultadas desde el fin del siglo XIX, las pinturas fueron descubiertas en la mitad del siglo XXy fueron parcialmente restauradas al finalde la década de 1990. No hay documentación científica queacompañelas intervenciones, y cuestiones importantesse quedaronsin repuesta, en particular el nivel de autenticidad de las decoraciones de las paredes, así como lastécnicaspictóricasutilizadasen laépoca medieval. El apoyo científico y económico de la Acción Cost COSCH y de la DRAC de Borgoña permitió elestudio delas pinturas murales de Germolles con algunas de las técnicas de imagen y analíticasmás innovadoras, con tal de responder a algunas de las cuestiones planteadas. El estudio proporcionó informaciónrelevante en lo que se refiere al material utilizado durante la Edad Mediay sobreel estado de conservación de las pinturas. La toma de datos es ampliay variada, y expuso a los dueños de la propiedad al desafío de la gestión de datos.This project would not have been possible without the financial support by DRAC-Burgundy and the COST Action TD1201: Colour and Space in Cultural Heritage (COSCH) (www.cosch.info) which the authors wish to sincerely thank.Degrigny, C.; Piqué, F.; Papiashvili, N.; Guery, J.; Mansouri, A.; Le Goïc, G.; Detalle, V.... (2016). Technical study of Germolles’ wall paintings: the input of imaging technique. Virtual Archaeology Review. 7(15):1-8. https://doi.org/10.4995/var.2016.5831SWORD18715Giovannoni, S., Matteini, M., & Moles, A. (1990). Studies and developments concerning the problem of altered lead pigments in wall painting. Studies in Conservation, 35(1), 21-25. doi:10.1179/sic.1990.35.1.21Manuel, A., Gattet, E., De Luca, L., & Veron, P. (2013). An approach for precise 2D/3D semantic annotation of spatially-oriented images for in situ visualization applications. 2013 Digital Heritage International Congress (DigitalHeritage). doi:10.1109/digitalheritage.2013.6743752Wefers, S., Reich, T., Tietz, B. and Boochs, F. 2016. SIVT – Processing, Viewing, and Analysis of 3D Scans of the Porthole Slab and Slab B2 of Züschen I. In: S. Campana, R. Sopigno, G. Carpentiero and M. Cirillo, eds, CAA2015. Keep the Revolution Going. Proceedings of the 43rd Annual Conference on Computer Applications and Quantitative Methods In Archaeology. Oxford : Archaeopress Publishing Ltd, pp. 1067-1080

Share - Publish - Store - Preserve. Methodologies, Tools and Challenges for 3D Use in Social Sciences and Humanities

Through this White Paper, which gathers contributions from experts of 3D data as well as professionals concerned with the interoperability and sustainability of 3D research data, the PARTHENOS project aims at highlighting some of the current issues they have to face, with possible specific points according to the discipline, and potential practices and methodologies to deal with these issues. During the workshop, several tools to deal with these issues have been introduced and confronted with the participants experiences, this White Paper now intends to go further by also integrating participants feedbacks and suggestions of potential improvements. Therefore, even if the focus is put on specific tools, the main goal is to contribute to the development of standardized good practices related to the sharing, publication, storage and long-term preservation of 3D data

Vers une sauvegarde numérique du patrimoine industriel, minier et mineur

info:eu-repo/semantics/nonPublishe

Fiat-Lux, la fusion d’images pour une approche multi-échelle, multi-temporelle et multispectrale dédiée à la conservation des biens culturels

National audienceLe projet FIAT LUX a comme objectif de fusionner des images et des informations produites par diverses techniques analytiques de terrain, rendre possible la spatialisation de ces informations et permettre le suivi de leur évolutio

A metadata enriched system for the documentation of multi-modal digital imaging surveys

In the field of Digital Heritage studies, data provenance has always been an open and challenging issue. As Cultural Heritage (CH) objects are unique by definition, the methods, practices and strategies to build digital documentation are not homogeneous, universal or standardized. Metadata is a minimalistic yet powerful form to source and describe a digital document. It is often required or mandatory at an advanced stage of a Digital Heritage project. Our approach is to document a Digital Heritage asset by integrating meaningful data from multiple sources and multimodal imaging surveys. This article exposes the methodological and technical aspects related to the ongoing development of MEMoS – which stands for Metadata Enriched Multimodal documentation System. MEMoS aims to contribute to data provenance issues in current multimodal imaging surveys. It explores a way to document CH oriented capture data sets with a versatile descriptive metadata scheme inspired from the W7 ontological model. In addition, an experiment illustrated by several case studies explores the possibility of integrating this metadata encoded into 2D barcodes directly to the captured image set. The article lays the foundation of a three-part methodology to describe, encode and display metadata-enriched documentation of CH objects

Morphological analysis of shape semantics from curvature-based signatures: The case study of the columns of Saint-Michel de Cuxa

Abstract— Over the past few years, advancements in the field of 3D digitizing has increased the fidelity of geometric models. So far and despite of this acuity enhancement, a gap remains between the growth of collected data and its uses as vehicle of knowledge. New challenges have emerged to handle massive content of a 3D footprint. Considering those un-interpreted data as starting point for further investigations, the hypothesis is to rely on a “low-level” analysis of geometric features aiming to enrich informative and scientific value of “high-level” semantic studies. This article describes an approach using discrete curvature assets to link morphological identification and semantic characterization. The mean curvature has been parametrized to highlight it use as an eloquent shape description. At this point, a comparative analysis within an architectural collection composed of similar entities would be led according to the remoteness degree compared to an average geometric reference model. The introduced principle explores the construction of curvature-based signatures so as to reassess the conceptual articulations of 31 Romanesque columns from the cloister of the abbey of Saint-Michel de Cuxa.info:eu-repo/semantics/publishe

Toward a Data Fusion Index for the Assessment and Enhancement of 3D Multimodal Reconstruction of Built Cultural Heritage

In the field of digital cultural heritage (DCH), 2D/3D digitization strategies are becoming more and more complex. The emerging trend of multimodal imaging (i.e., data acquisition campaigns aiming to put in cooperation multi-sensor, multi-scale, multi-band and/or multi-epochs concurrently) implies several challenges in term of data provenance, data fusion and data analysis. Making the assumption that the current usability of multi-source 3D models could be more meaningful than millions of aggregated points, this work explores a “reduce to understand” approach to increase the interpretative value of multimodal point clouds. Starting from several years of accumulated digitizations on a single use-case, we define a method based on density estimation to compute a Multimodal Enhancement Fusion Index (MEFI) revealing the intricate modality layers behind the 3D coordinates. Seamlessly stored into point cloud attributes, MEFI is able to be expressed as a heat-map if the underlying data are rather isolated and sparse or redundant and dense. Beyond the colour-coded quantitative features, a semantic layer is added to provide qualitative information from the data sources. Based on a versatile descriptive metadata schema (MEMoS), the 3D model resulting from the data fusion could therefore be semantically enriched by incorporating all the information concerning its digitization history. A customized 3D viewer is presented to explore this enhanced multimodal representation as a starting point for further 3D-based investigations