FROM 2D TO 3D SUPERVISED SEGMENTATION AND CLASSIFICATION FOR CULTURAL HERITAGE APPLICATIONS

The digital management of architectural heritage information is still a complex problem, as a heritage object requires an integrated representation of various types of information in order to develop appropriate restoration or conservation strategies. Currently, there is extensive research focused on automatic procedures of segmentation and classification of 3D point clouds or meshes, which can accelerate the study of a monument and integrate it with heterogeneous information and attributes, useful to characterize and describe the surveyed object. The aim of this study is to propose an optimal, repeatable and reliable procedure to manage various types of 3D surveying data and associate them with heterogeneous information and attributes to characterize and describe the surveyed object. In particular, this paper presents an approach for classifying 3D heritage models, starting from the segmentation of their textures based on supervised machine learning methods. Experimental results run on three different case studies demonstrate that the proposed approach is effective and with many further potentials

DIGITAL CULTURAL HERITAGE MEETS DIGITAL HUMANITIES

Digital Cultural Heritage and Digital Humanities are, historically seen, in focus of different communities as well as approaching different research topics and - from an organizational point of view - departments. However, are they that different? The idea of this joint article involving digital humanists and heritage researchers is to examine communities, concepts and research applications as well as shared challenges. Beyond a collection of problem-centred essays this is intended to initiate a fruitful discussion about commonalities and differences between both scholarly fields as well as to assess to which extent they are two sides of the same medal

From 2D to 3D supervised segmentation and classification for cultural heritage applications.

The digital management of architectural heritage information is still a complex problem, as a heritage object requires an integrated representation of various types of information in order to develop appropriate restoration or conservation strategies. Currently, there is extensive research focused on automatic procedures of segmentation and classification of 3D point clouds or meshes, which can accelerate the study of a monument and integrate it with heterogeneous information and attributes, useful to characterize and describe the surveyed object. The aim of this study is to propose an optimal, repeatable and reliable procedure to manage various types of 3D surveying data and associate them with heterogeneous information and attributes to characterize and describe the surveyed object. In particular, this paper presents an approach for classifying 3D heritage models, starting from the segmentation of their textures based on supervised machine learning methods. Experimental results run on three different case studies demonstrate that the proposed approach is effective and with many further potentials

Integrated and interactive 4D system for archaeological stratigraphy

The digitization of some of the processes carried out in an archaeological excavation is changing the way of working at the site. Today, new technologies coexist with traditional methodologies. The study of stratigraphy can combine drawings of profiles and plans, the Harris Matrix diagram, as well as digitized files that perform a complete record of the stratigraphic sequence. However, this information is usually unaggregated from the rest of the information system that makes up the archaeological record. In this paper, we present an integrated software tool and the associated methodology to record, store, visualize and analyze the 3D stratigraphy of a site. The implementation uses spatial databases to store information of a heterogeneous nature and game engines for the visualization and interaction with this information. During the excavation process, the strata are scanned using the Tof technology, which is available in many smartphones. The resulting 3D model of the stratum, once uploaded to the software system, allows us to visualize the sequence of strata incorporating the findings into their original arrangement. Some additional tools, such as the scrollbar, help to perform a temporal analysis of the site. The result is a 4D interactive stratigraphy tool, which together with the Harris Matrix, complements the archaeological record and facilitates the work to archaeologists. This methodology also allows to speed up the on-site work and the subsequent analysis, while improving the user experience with the 3D archaeological site replica.CRUE-CSICSpringer NatureSpanish GovernmentEuropean Commission TIN2017-84968-

Hand Held 3D Scanning for Cultural Heritage: Experimenting Low Cost Structure Sensor Scan.

In the last years 3D scanning has become an important resource in many fields, in particular it has played a key role in study and preservation of Cultural Heritage. Moreover today, thanks to the miniaturization of electronic components, it has been possible produce a new category of 3D scanners, also known as handheld scanners. Handheld scanners combine a relatively low cost with the advantage of the portability. The aim of this chapter is two-fold: first, a survey about the most recent 3D handheld scanners is presented. As second, a study about the possibility to employ the handheld scanners in the field of Cultural Heritage is conducted. In this investigation, a doorway of the Benedictine Monastery of Catania, has been used as study case for a comparison between stationary Time of Flight scanner, photogrammetry-based 3D reconstruction and handheld scanning. The study is completed by an evaluation of the meshes quality obtained with the three different kinds of technology and a 3D modeling reproduction of the case-study doorway

Representation Challenges

Augmented Reality (AR) and Artificial Intelligence (AI) are technological domains that closely interact with space at architectural and urban scale in the broader ambits of cultural heritage and innovative design. The growing interest is perceivable in many fields of knowledge, supported by the rapid development and advancement of theory and application, software and devices, fueling a pervasive phenomenon within our daily lives. These technologies demonstrate to be best exploited when their application and other information and communication technology (ICT) advancements achieve a continuum. In particular, AR defines an alternative path to observe, analyze and communicate space and artifacts. Besides, AI opens future scenarios in data processing, redefining the relationship between man and computer. In the last few years, the AR/AI expansion and relationship have raised deep transdisciplinary speculation. The research experiences have shown many cross-relations in Architecture and Design domains. Representation studies could arise an international debate as a convergence place of multidisciplinary theoretical and applicative contributions related to architecture, city, environment, tangible and intangible Cultural Heritage. This book collects 66 papers and identify eight lines of research that may guide future developments

L'histoire contemporaine à l'ère numérique / Contemporary History in the Digital Age

Depuis plusieurs décennies, les usages du numérique en histoire se multiplient. Mais l'histoire contemporaine est parfois restée à la marge de ce mouvement. Ce livre, qui recouvre divers usages du numérique, ses outils, ses méthodes, sera à la fois une bonne introduction pour les historiens désirant se renseigner sur les usages informatiques en histoire contemporaine, et un outil utile aux chercheurs et aux enseignants plus rompus à cette utilisation

A Web Platform for the Consultation of Spatialized and Semantically-Enriched Iconographic Sources on Cultural Heritage Buildings

This paper describes an interactive platform for the semantic annotation of oriented iconographic sources based on an accurate 3D model structured according to spatial and temporal features. This platform, called LOCUS IMAGINIS, provides access to cultural information about monuments by collecting personal snapshots taken by visitors. In particular, the platform enables to perform two actions. Firstly, pictures are added into the database: visitors manually align images to the digital model of the monument and than, by means of automatic procedures, images are enriched with 2D semantic annotations that are projected from the 3D model. Secondly, the collection of semantically-enriched data can be queried: when visitors select 2D images of the database, these are oriented in the 3D scene and superimposed onto the 3D model. In this way, this tool provides access to textual and graphic information describing the photographed site (semantic, spatial, temporal features, etc.). Moreover, visitors can interact both with images and the 3D-model to highlight building parts by color. Accessible on-site and on-line, this tool can create awareness about conservation and is adapted to all kinds of audience: students involved in educational workshops, visitors needing to extend their visit, and documentalists interested in the consultation of the iconographic corpu