I. Ciortan, G. Marchioro, C. Daffara, R. Pintus, E. Gobbetti, Andrea Giachetti
A critical and challenging aspect for the study of Cultural Heritage (CH) assets is related to the characterization of the materials that compose them and to the variation of these materials with time. In this paper, we exploit a realistic dataset of artificially aged metallic samples treated with different coatings commonly used for artworks’ protection in order to evaluate different approaches to extract material features from high-resolution depth maps. In particular, we estimated, on microprofilometric surface acquisitions of the samples, performed at different aging steps, standard roughness descriptors used in materials science as well as classical and recent image texture descriptors. We analyzed the ability of the features to discriminate different aging steps and performed supervised classification tests showing the feasibility of a texture-based aging analysis and the effectiveness of coatings in reducing the surfaces’ change with time. CCS Concepts •Computing methodologies → Machine learning approaches; Neural networks; •Applied computing → Arts and humanities; •General and reference → Metrics;
{"title":"Aging Prediction of Cultural Heritage Samples Based on Surface Microgeometry","authors":"I. Ciortan, G. Marchioro, C. Daffara, R. Pintus, E. Gobbetti, Andrea Giachetti","doi":"10.2312/gch.20181352","DOIUrl":"https://doi.org/10.2312/gch.20181352","url":null,"abstract":"A critical and challenging aspect for the study of Cultural Heritage (CH) assets is related to the characterization of the materials that compose them and to the variation of these materials with time. In this paper, we exploit a realistic dataset of artificially aged metallic samples treated with different coatings commonly used for artworks’ protection in order to evaluate different approaches to extract material features from high-resolution depth maps. In particular, we estimated, on microprofilometric surface acquisitions of the samples, performed at different aging steps, standard roughness descriptors used in materials science as well as classical and recent image texture descriptors. We analyzed the ability of the features to discriminate different aging steps and performed supervised classification tests showing the feasibility of a texture-based aging analysis and the effectiveness of coatings in reducing the surfaces’ change with time. CCS Concepts •Computing methodologies → Machine learning approaches; Neural networks; •Applied computing → Arts and humanities; •General and reference → Metrics;","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124006910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Dulecha, Andrea Giachetti, R. Pintus, I. Ciortan, A. Villanueva, E. Gobbetti
Cracks represent an imminent danger for painted surfaces that needs to be alerted before degenerating into more severe aging effects, such as color loss. Automatic detection of cracks from painted surfaces’ images would be therefore extremely useful for art conservators; however, classical image processing solutions are not effective to detect them, distinguish them from other lines or surface characteristics. A possible solution to improve the quality of crack detection exploits Multi-Light Image Collections (MLIC), that are often acquired in the Cultural Heritage domain thanks to the diffusion of the Reflectance Transformation Imaging (RTI) technique, allowing a low cost and rich digitization of artworks’ surfaces. In this paper, we propose a pipeline for the detection of crack on egg-tempera paintings from multi-light image acquisitions and that can be used as well on single images. The method is based on single or multi-light edge detection and on a custom Convolutional Neural Network able to classify image patches around edge points as crack or non-crack, trained on RTI data. The pipeline is able to classify regions with cracks with good accuracy when applied on MLIC. Used on single images, it can give still reasonable results. The analysis of the performances for different lighting directions also reveals optimal lighting directions. CCS Concepts • Computing methodologies → Supervised learning by classification; Cross-validation; • Applied computing → Fine arts;
{"title":"Crack Detection in Single- and Multi-Light Images of Painted Surfaces using Convolutional Neural Networks","authors":"T. Dulecha, Andrea Giachetti, R. Pintus, I. Ciortan, A. Villanueva, E. Gobbetti","doi":"10.2312/GCH.20191347","DOIUrl":"https://doi.org/10.2312/GCH.20191347","url":null,"abstract":"Cracks represent an imminent danger for painted surfaces that needs to be alerted before degenerating into more severe aging effects, such as color loss. Automatic detection of cracks from painted surfaces’ images would be therefore extremely useful for art conservators; however, classical image processing solutions are not effective to detect them, distinguish them from other lines or surface characteristics. A possible solution to improve the quality of crack detection exploits Multi-Light Image Collections (MLIC), that are often acquired in the Cultural Heritage domain thanks to the diffusion of the Reflectance Transformation Imaging (RTI) technique, allowing a low cost and rich digitization of artworks’ surfaces. In this paper, we propose a pipeline for the detection of crack on egg-tempera paintings from multi-light image acquisitions and that can be used as well on single images. The method is based on single or multi-light edge detection and on a custom Convolutional Neural Network able to classify image patches around edge points as crack or non-crack, trained on RTI data. The pipeline is able to classify regions with cracks with good accuracy when applied on MLIC. Used on single images, it can give still reasonable results. The analysis of the performances for different lighting directions also reveals optimal lighting directions. CCS Concepts • Computing methodologies → Supervised learning by classification; Cross-validation; • Applied computing → Fine arts;","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123525505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid evolution of technology in the last decades came the possibility of executing certain activities remotely. Museum and gallery visits can greatly benefit from remote interaction and can be enhanced by visitor participation and collaboration. The pandemic setting contributed to the active search for its implementation in several areas of society. The framework presented in this paper aims to tackle both of the aforementioned opportunities instantiated by companion and collaborative virtual and augmented reality applications. The first application was built for Oculus Quest devices and serves as a means to immerse the user and provide a sense of presence in remote visits. The second is a smartphone application meant to augment the onsite visitor experience with digital information and the possibility for commenting and annotating the visit. The latter application can also stream a camera perspective to the virtual environment accessible in the first application, enabling a sense of participation and presence in the physical exhibit, to the to the virtual visitor . The system’s usability and presence were evaluated in a series of questionnaires performed by a variety of participants.
{"title":"Augmenting Local and Remote Cultural Visits with Mixed Reality","authors":"Pedro Lourenço, Nuno Correia, Armanda Rodrigues","doi":"10.2312/gch.20231170","DOIUrl":"https://doi.org/10.2312/gch.20231170","url":null,"abstract":"With the rapid evolution of technology in the last decades came the possibility of executing certain activities remotely. Museum and gallery visits can greatly benefit from remote interaction and can be enhanced by visitor participation and collaboration. The pandemic setting contributed to the active search for its implementation in several areas of society. The framework presented in this paper aims to tackle both of the aforementioned opportunities instantiated by companion and collaborative virtual and augmented reality applications. The first application was built for Oculus Quest devices and serves as a means to immerse the user and provide a sense of presence in remote visits. The second is a smartphone application meant to augment the onsite visitor experience with digital information and the possibility for commenting and annotating the visit. The latter application can also stream a camera perspective to the virtual environment accessible in the first application, enabling a sense of participation and presence in the physical exhibit, to the to the virtual visitor . The system’s usability and presence were evaluated in a series of questionnaires performed by a variety of participants.","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"72 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128015593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Imanol Muñoz-Pandiella, K. Akoglu, C. Bosch, H. Rushmeier
In Cultural Heritage projects, it is very important to identify and track weathering effects on monuments in order to design and test conservation strategies. Currently, this mapping is manual work performed by experts based on what they observe and their experience. In this paper, we present a workflow to map the weathering effect known as scaling on monuments with very little user interaction. First, we generate a 3D model of the monuments using photogrammetry techniques. Then, we reduce the noise in the acquired data using an adaptive and anisotropic filter. After that, we estimate the original shape of the surface before the weathering effects using the RANSAC algorithm. With this information, we perform a geometrical analysis to detect the features affected by this weathering effect and compute their characteristics. Then, we map the regions that have suffered scaling using the detected features and a segmentation based on the distance between the mesh and the unweathered surface. Our technique results can be very useful to understand the level of weathering of a monument and to trace the weathered parts through time automatically.
{"title":"Towards Semi-Automatic Scaling Detection on Flat Stones","authors":"Imanol Muñoz-Pandiella, K. Akoglu, C. Bosch, H. Rushmeier","doi":"10.2312/gch.20171291","DOIUrl":"https://doi.org/10.2312/gch.20171291","url":null,"abstract":"In Cultural Heritage projects, it is very important to identify and track weathering effects on monuments in order to design and test conservation strategies. Currently, this mapping is manual work performed by experts based on what they observe and their experience. In this paper, we present a workflow to map the weathering effect known as scaling on monuments with very little user interaction. First, we generate a 3D model of the monuments using photogrammetry techniques. Then, we reduce the noise in the acquired data using an adaptive and anisotropic filter. After that, we estimate the original shape of the surface before the weathering effects using the RANSAC algorithm. With this information, we perform a geometrical analysis to detect the features affected by this weathering effect and compute their characteristics. Then, we map the regions that have suffered scaling using the detected features and a segmentation based on the distance between the mesh and the unweathered surface. Our technique results can be very useful to understand the level of weathering of a monument and to trace the weathered parts through time automatically.","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125658841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent advances in 3D acquisition technologies have facilitated the inexpensive digitization of cultural heritage. In addition to the 3D digital model, in many cases multiple photo collections are also available. These photo collections often provide valuable information not included in the 3D digital model. In this paper we describe a VR-ready web application to simultaneously explore a cultural heritage model together with arbitrary photo collections. At any time, users can define a region of interest either explicitly or implicitly, and the application retrieves, scores, groups and shows a matching subset of the photos. Users can then select a photo to project it onto the 3D model, to inspect the photo separately, or to teleport to the position the photo was taken from. Unlike previous approaches for joint 2D-3D model exploration, our interface has been specifically adapted to VR. We conducted a user study and found that the application greatly facilitates navigation and provides a fast, intuitive access to the available photos. The application supports any modern browser running on desktop, mobile and VR headset systems.
{"title":"Immersive Geometry-based and Image-based Exploration of Cultural Heritage Models","authors":"A. Farràs, Marc Comino, C. Andújar","doi":"10.2312/GCH.20211402","DOIUrl":"https://doi.org/10.2312/GCH.20211402","url":null,"abstract":"Recent advances in 3D acquisition technologies have facilitated the inexpensive digitization of cultural heritage. In addition to the 3D digital model, in many cases multiple photo collections are also available. These photo collections often provide valuable information not included in the 3D digital model. In this paper we describe a VR-ready web application to simultaneously explore a cultural heritage model together with arbitrary photo collections. At any time, users can define a region of interest either explicitly or implicitly, and the application retrieves, scores, groups and shows a matching subset of the photos. Users can then select a photo to project it onto the 3D model, to inspect the photo separately, or to teleport to the position the photo was taken from. Unlike previous approaches for joint 2D-3D model exploration, our interface has been specifically adapted to VR. We conducted a user study and found that the application greatly facilitates navigation and provides a fast, intuitive access to the available photos. The application supports any modern browser running on desktop, mobile and VR headset systems.","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131632936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The increasing digitalization of cultural heritage assets and the exponential expansion of digital repositories have created new opportunities for archaeological documenting, preservation, and dissemination. Photogrammetry, a survey approach that uses photographic acquisitions to construct highly detailed 3D models of objects, buildings, and landscapes, is one of the most promising techniques in this field. The effectiveness of the photogrammetric process, however, has still limitations due to a lack of experience sharing and data interoperability, which have resulted from the singularities of the techniques in both process and data format. To address this issue, this paper proposes a novel workflow for the photogrammetric process, called BeA-PG, developed for the BeArchaeo archaeological project. BeA-PG implements two relevant features for improving the effectiveness: on the one hand, sharing is improved by widening the scope of the process representation from the specific archaeological context to the broader cultural heritage context, by adopting the Digital Data Curation process abstraction; on the other, it improves the interoperability by describing the process with a shared ontological vocabulary, namely the CIDOC-CRM model. The paper introduces the major features of the photogrammetric process, its description through the abstract flow of the Digital Data Curation process, and its encoding through the CIDOC-CRM vocabulary. We illustrate the BeA-PG workflow and its experimental application in the practical setting of the BeArchaeo project.
{"title":"A Digital Data Curation-Based Photogrammetric Acquisition Methodology for Cultural Heritage, expanded with CIDOC CRM Compatibility: protocol BeA-PG","authors":"Vittorio Lauro, Vincenzo Lombardo","doi":"10.2312/gch.20231169","DOIUrl":"https://doi.org/10.2312/gch.20231169","url":null,"abstract":"The increasing digitalization of cultural heritage assets and the exponential expansion of digital repositories have created new opportunities for archaeological documenting, preservation, and dissemination. Photogrammetry, a survey approach that uses photographic acquisitions to construct highly detailed 3D models of objects, buildings, and landscapes, is one of the most promising techniques in this field. The effectiveness of the photogrammetric process, however, has still limitations due to a lack of experience sharing and data interoperability, which have resulted from the singularities of the techniques in both process and data format. To address this issue, this paper proposes a novel workflow for the photogrammetric process, called BeA-PG, developed for the BeArchaeo archaeological project. BeA-PG implements two relevant features for improving the effectiveness: on the one hand, sharing is improved by widening the scope of the process representation from the specific archaeological context to the broader cultural heritage context, by adopting the Digital Data Curation process abstraction; on the other, it improves the interoperability by describing the process with a shared ontological vocabulary, namely the CIDOC-CRM model. The paper introduces the major features of the photogrammetric process, its description through the abstract flow of the Digital Data Curation process, and its encoding through the CIDOC-CRM vocabulary. We illustrate the BeA-PG workflow and its experimental application in the practical setting of the BeArchaeo project.","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123479735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
3D-artifacts from ancient civilizations contain many different kinds of information in form of forensic trace evidence, e.g., tool marks from styli or fingerprints on wax sealings. These very fine structures are increasingly captured by various 3D-acquisiton techniques and stored as irregular meshes. We introduce filter algorithms for the processing of these datasets to finally extract meaningful information at predefined scales. Therefore, Multiscale-Integral Invariants (MSII) are introduced as robust filter methods with their four different variants, using volume, patch, surface and line integrals for their specific sensitivity on mean curvature, Gaussian curvature or noise detection. Smoothing as known from 2D-raster image processing cannot be applied directly. It needs adaptation to the irregular structure of the triangular grids describing 2D-manifolds in 3D-space. We introduce a fast 1-ring smoothing with a skillful weighting by distance and area of the neighboring points and triangles. Finally, we apply our technique to the various motivating examples for showing the results as false color images with isolines, indicating the respective field of function values, e.g., curvature in various norms or correlations in the feature space. Smooth isolines are indicators for the successful removal of noise. We finally compare the fully automated results with a manual graphic rendering of a faded handwriting found in the tomb of the empress Gisela of Swabia. CCS Concepts •Computing methodologies → Computer graphics; •Applied computing → Fine arts;
{"title":"Visual Computing for Archaeological Artifacts with Integral Invariant Filters in 3D","authors":"H. Mara, S. Krömker","doi":"10.2312/gch.20171290","DOIUrl":"https://doi.org/10.2312/gch.20171290","url":null,"abstract":"3D-artifacts from ancient civilizations contain many different kinds of information in form of forensic trace evidence, e.g., tool marks from styli or fingerprints on wax sealings. These very fine structures are increasingly captured by various 3D-acquisiton techniques and stored as irregular meshes. We introduce filter algorithms for the processing of these datasets to finally extract meaningful information at predefined scales. Therefore, Multiscale-Integral Invariants (MSII) are introduced as robust filter methods with their four different variants, using volume, patch, surface and line integrals for their specific sensitivity on mean curvature, Gaussian curvature or noise detection. Smoothing as known from 2D-raster image processing cannot be applied directly. It needs adaptation to the irregular structure of the triangular grids describing 2D-manifolds in 3D-space. We introduce a fast 1-ring smoothing with a skillful weighting by distance and area of the neighboring points and triangles. Finally, we apply our technique to the various motivating examples for showing the results as false color images with isolines, indicating the respective field of function values, e.g., curvature in various norms or correlations in the feature space. Smooth isolines are indicators for the successful removal of noise. We finally compare the fully automated results with a manual graphic rendering of a faded handwriting found in the tomb of the empress Gisela of Swabia. CCS Concepts •Computing methodologies → Computer graphics; •Applied computing → Fine arts;","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123603518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victoria Rudakova, N. Lin, Natallia Trayan, T. M. Sezgin, Julie Dorsey, H. Rushmeier
We present a work-in-progress report on a sketchand image-based software called “CHER-ish” designed to help make sense of the cultural heritage data associated with sites within 3D space. The software is based on the previous work done in the domain of 3D sketching for conceptual architectural design, i.e., the system which allows user to visualize urban structures by a set of strokes located in virtual planes in 3D space. In order to interpret and infer the structure of a given cultural heritage site, we use a mix of data such as site photographs and floor plans, and then we allow user to manually locate the available photographs and their corresponding camera positions within 3D space. With the photographs’ camera positions placed in 3D, the user defines a scene’s 3D structure by the means of stokes and other simple 2D geometric entities. We introduce the main system components: virtual planes (canvases), 2D entities (strokes, line segments, photos, polygons) and provide a description of the methods that allow the user to interact with them within the system to create a scene representation. Finally, we demonstrate the usage of the system on two different data sets: a collection of photographs and drawings from Dura-Europos, and drawings and plans from Horace Walpole’s Strawberry Hill villa. CCS Concepts •Human-centered computing → Scientific visualization; Information visualization; •Applied computing → Archaeology; Computer-aided design;
{"title":"CHER-ish: A Sketch- and Image-based System for 3D Representation and Documentation of Cultural Heritage Sites","authors":"Victoria Rudakova, N. Lin, Natallia Trayan, T. M. Sezgin, Julie Dorsey, H. Rushmeier","doi":"10.2312/gch.20171314","DOIUrl":"https://doi.org/10.2312/gch.20171314","url":null,"abstract":"We present a work-in-progress report on a sketchand image-based software called “CHER-ish” designed to help make sense of the cultural heritage data associated with sites within 3D space. The software is based on the previous work done in the domain of 3D sketching for conceptual architectural design, i.e., the system which allows user to visualize urban structures by a set of strokes located in virtual planes in 3D space. In order to interpret and infer the structure of a given cultural heritage site, we use a mix of data such as site photographs and floor plans, and then we allow user to manually locate the available photographs and their corresponding camera positions within 3D space. With the photographs’ camera positions placed in 3D, the user defines a scene’s 3D structure by the means of stokes and other simple 2D geometric entities. We introduce the main system components: virtual planes (canvases), 2D entities (strokes, line segments, photos, polygons) and provide a description of the methods that allow the user to interact with them within the system to create a scene representation. Finally, we demonstrate the usage of the system on two different data sets: a collection of photographs and drawings from Dura-Europos, and drawings and plans from Horace Walpole’s Strawberry Hill villa. CCS Concepts •Human-centered computing → Scientific visualization; Information visualization; •Applied computing → Archaeology; Computer-aided design;","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125901334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alberto Bucciero, Alessandra Chirivi, Gerardo Anglada, E. Demetrescu, B. Fanini, Nicolò Paraciani
The contribution presents the DataSpace of the Institute of Heritage Science (ISPC) of the Italian National Council for Research. Cultural Heritage is well known to be a multidisciplinary domain where heterogeneous data, methods and techniques overlap, co-exist and collaborate to create evidence-based wisdom represented with local and (rarely) inter-operable standards. DataSpace aims to overcome the need to harmonise converging research perspectives, allow collaborative research, and de-babelize the presentation of data. This horizontal perspective is based on a graph of knowledge, ruled by a semantic reference model, and acts as a glue to connect different digital resources created with different perspectives. The DataSpace, which is built on top of the Arches platform integrated and customised with original tools, has been validated with positive results against two case studies to cover the wider domain of Heritage Science. The contribution explains the activities and technological solutions adopted and goes into detail about the problems and limitations that arose with the implementation of the DataSpace offering a critical yet positive perspective on the use of the DataSpace-ISPC in production scenarios.
{"title":"DataSpace-ISPC: a Semantic Platform for Heritage Science","authors":"Alberto Bucciero, Alessandra Chirivi, Gerardo Anglada, E. Demetrescu, B. Fanini, Nicolò Paraciani","doi":"10.2312/gch.20231166","DOIUrl":"https://doi.org/10.2312/gch.20231166","url":null,"abstract":"The contribution presents the DataSpace of the Institute of Heritage Science (ISPC) of the Italian National Council for Research. Cultural Heritage is well known to be a multidisciplinary domain where heterogeneous data, methods and techniques overlap, co-exist and collaborate to create evidence-based wisdom represented with local and (rarely) inter-operable standards. DataSpace aims to overcome the need to harmonise converging research perspectives, allow collaborative research, and de-babelize the presentation of data. This horizontal perspective is based on a graph of knowledge, ruled by a semantic reference model, and acts as a glue to connect different digital resources created with different perspectives. The DataSpace, which is built on top of the Arches platform integrated and customised with original tools, has been validated with positive results against two case studies to cover the wider domain of Heritage Science. The contribution explains the activities and technological solutions adopted and goes into detail about the problems and limitations that arose with the implementation of the DataSpace offering a critical yet positive perspective on the use of the DataSpace-ISPC in production scenarios.","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125948174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuanfa Dong, Mark Webb, Carlo Harvey, K. Debattista, A. Chalmers
In the medieval period, Coventry, in the English Midlands was a major centre for tanning as well as for its better-known cloth industry. Heavily damaged during the Second World War, and unsympathetically rebuilt in the 1950s and 1960s, there is little left in modern Coventry to remind visitors of this important period in Coventry’s history. The tanning of cattle hides was a labour intensive and smelly process. After the hooves and horns had been chopped off the animal skins from butchers, the skins were immersed in pits filled with dog dung or lime, scraped and then sprinkled with urine and left to rot in a warm environment. Finally the hides were soaked for up to twelve months in a tanning liquid to achieve the desired quality of leather. To fully appreciate the medieval tanning process, any virtual recreation needs to be multisensory: the sites of the skins in various stages of processing, the shouts of the workers, and the pungent smells. This paper presents the process of recreating this important multisensory experience and discusses how this can provide visitors with a richer experience of Coventry’s illustrious past. CCS Concepts •Computing methodologies → Virtual reality; Ray tracing; Perception; •Applied computing → Architecture (buildings);
{"title":"Multisensory Virtual Experience of Tanning in Medieval Coventry","authors":"Yuanfa Dong, Mark Webb, Carlo Harvey, K. Debattista, A. Chalmers","doi":"10.2312/gch.20171297","DOIUrl":"https://doi.org/10.2312/gch.20171297","url":null,"abstract":"In the medieval period, Coventry, in the English Midlands was a major centre for tanning as well as for its better-known cloth industry. Heavily damaged during the Second World War, and unsympathetically rebuilt in the 1950s and 1960s, there is little left in modern Coventry to remind visitors of this important period in Coventry’s history. The tanning of cattle hides was a labour intensive and smelly process. After the hooves and horns had been chopped off the animal skins from butchers, the skins were immersed in pits filled with dog dung or lime, scraped and then sprinkled with urine and left to rot in a warm environment. Finally the hides were soaked for up to twelve months in a tanning liquid to achieve the desired quality of leather. To fully appreciate the medieval tanning process, any virtual recreation needs to be multisensory: the sites of the skins in various stages of processing, the shouts of the workers, and the pungent smells. This paper presents the process of recreating this important multisensory experience and discusses how this can provide visitors with a richer experience of Coventry’s illustrious past. CCS Concepts •Computing methodologies → Virtual reality; Ray tracing; Perception; •Applied computing → Architecture (buildings);","PeriodicalId":203827,"journal":{"name":"Eurographics Workshop on Graphics and Cultural Heritage","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124696907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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