GCH 2024 - Eurographics Workshop on Graphics and Cultural Heritage
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Browsing GCH 2024 - Eurographics Workshop on Graphics and Cultural Heritage by Subject "Applied computing → Arts and humanities"
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Item Applying BRDF Monotonicity for Refined Shading Normal Extraction from Multi-Light Image Collections(The Eurographics Association, 2024) Pintus, Ruggero; Zorcolo, Antonio; Gobbetti, Enrico; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanMulti-Light Image Collections (MLICs) are often transformed into geometric normals and BRDF normals for visual exploration under novel illumination. However, discrepancies between the chosen BRDF space and the complete optical behavior of objects, along with the possible presence of non-local lighting effects in measurements, often lead to sub-optimal visual outcomes even with the most accurate geometric normal recovery. In this paper, we introduce a modular component designed to convert the geometric normals into well-behaved shading normals, under the common and general assumption that the reflectance must be a monotonic function of the angle between the shading normal and the bisector of lighting and viewing directions. Since it does not require the coupling of shape and material estimation, the module allows seamless integration into existing reconstruction pipelines, supporting the mixing and matching of Photometric Stereo methods, BRDF models, and BRDF fitters. The performance and versatility of the approach are demonstrated through experiments.Item DeepHadad: Enhancing the Readability of Ancient Northwest Semitic Inscriptions(The Eurographics Association, 2024) Aioanei, Andrei C.; Klein, Jonathan; Klein, Konstantin M.; Hunziker-Rodewald, Regine R.; Michels, Dominik L.; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanWe present DeepHadad, a novel deep learning approach to improve the readability of severely damaged ancient Northwest Semitic inscriptions. By leveraging concepts of displacement maps and image-to-image translation, DeepHadad effectively recovers text from barely recognizable inscriptions, such as the one on the Hadad statue. A main challenge is the lack of pairs of well-preserved and damaged glyphs as training data since each available glyph instance has a unique shape and is not available in different states of erosion. We overcome this issue by generating synthetic training data through a simulated erosion process, on which we then train a neural network that successfully generalizes to real data. We demonstrate significant improvements in readability and historical authenticity compared to existing methods, opening new avenues for AI-assisted epigraphic analysis.Item Documenting Dunhuang Dance Using Motion Capture Technology(The Eurographics Association, 2024) Wang, Zeyu; He, Chengan; Yan, Zhe; Wang, Jiashun; Wang, Yingke; Liu, Junhua; Shen, Angela; Zeng, Mengying; Rushmeier, Holly; Xu, Huazhe; Yu, Borou; Lu, Chenchen; Wang, Eugene Y.; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanThis paper introduces a pipeline for documenting Chinese Classical Dunhuang Dance using motion capture technology. Our captured dataset includes full-body movements documented across eight categories, totaling 40 minutes of professional dance (preview available at https://cislab.hkust-gz.edu.cn/projects/chang-e/). The dataset supports creative applications for Dunhuang dance culture, showcased in a new media immersive exhibition. We used motion inbetweening to concatenate dance sequences and synchronized them with music through retiming techniques, enhancing rhythm and harmony. Visual effects were applied to digital dancers, achieving visually appealing results that echo Buddhist meditation and bodily cognition. The Chang-E dataset enables digital preservation and creative reimagination of Dunhuang dance, offering highquality data and an interdisciplinary collaboration framework for future graphics and cultural heritage research.Item Overview of a numerical modelling approach of Neolithic settlements: the instance of the Pointe de la Tranche (France)(The Eurographics Association, 2024) Choplin, Aménaïs; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanThe present study is a component of a doctoral thesis on Neolithic settlements in Western France, approached through digital modelling. Although 3D technologies are already employed in the research on megalithic architecture, their utilisation on settlement site is still relatively rare. This investigation focused on the southern coast of Île d'Yeu and the prehistoric barred spur site, la Pointe de la Tranche. The site was excavated from 2010 to 2013, revealing two Late Neolithic enclosures. New fieldwork, including a drone video survey, was added to the data collected during this campaign. The results of this study corroborate and expand upon those of previous investigations, particularly with regard to the different modules utilised in the construction process. The initial hypothesis that existing data could create 3D scenes for new information was partially confirmed. This study's innovation lies in its scale and site type, suggesting further investigation into data reuse and the necessity of the modelling of certain structures.Item Reconstructing Lost Altarpieces: A Differentiable Rendering Approach(The Eurographics Association, 2024) Pagès-Vilà, Anna; Munoz-Pandiella, Imanol; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanStudying works that have completely or partially disappeared is always difficult due to the lack of information. In more fortunate scenarios where photographs were taken before the destruction, the study of the piece is limited by the viewpoints captured in the available photographs. In this interdisciplinary research, we present a new methodology for reconstructing lost altarpieces from a single historical image, utilizing differentiable rendering techniques. We test our methodology by reconstructing some reliefs from the altarpiece of Sant Joan Baptista (Valls, Spain), which was destroyed in 1936. These results are valuable for both experts and the public, as they facilitate a better understanding of the relief's volumetrics and their spatial relationships, representing a significant advancement in the virtual recovery of lost artifacts.Item Stratigraphic Units beyond Archaeological Contexts. A Proposal to Enhance Knowledge Management of Heterogeneous Data of Cultural Heritage Sites(The Eurographics Association, 2024) Veggi, Manuele; Cerato, Ivana; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanAbstract This paper introduces BranCO, an ontology tailored for the integration and reconstruction of heterogeneous cultural data, illustrated through the Brancacci Chapel in Florence. Central to this model is the concept of the ''interpretative unit,'' which broadens the application of stratigraphic units (SU) beyond traditional archaeological use. The initial sections provide an overview of existing research, among which the Extended Matrix, and analyses the implementation of SU within semantic models for cultural heritage, as in the CIDOC-CRM standard and its extensions such as CRMarchaeo. On this basis, the paper outlines the main components of the ontology, developed following the SAMOD methodology. The satisfaction of both formal and rhetorical requirements highlights the potential for advancing this research, particularly to later integrate linked data with semantic nodes in 3D models.Item Towards a Collaborative Authoring Tool for Cultural Heritage Applications: Modelling the Development Process Between Curators and Developers(The Eurographics Association, 2024) Southall, Ethan; Hulusic, Vedad; John, David; Hargood, Charlie; Ó hOisín, Niall; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanBoth museums and virtual museums go through a curation process for creating exhibitions, with a variety of methods available. These are often collaborative, requiring both cultural heritage professionals and designers or developers working together. Mixed reality has the potential to enhance this process for the developer and client, in the form of a collaborative mixed reality authoring tool. It is important to understand the process of collaborative development of cultural heritage applications so that the authoring tool could be designed to cater for these needs.In this paper, a user study is presented that analyses the process of delivering three cultural heritage projects by an experienced development company. As a result, a model that captures project stages and collaborative aspects with the clients is created and validated, existing bottlenecks are identified and three authoring tool concepts that could improve the process are generated and discussed. The resulting tool is proposed to aid the collaboration process during the prototype and initial design stages of the development process, which will aid future research.Item Unsupervised Detection and Localization of Egyptian Hieroglyphs(The Eurographics Association, 2024) Lion, Pauline; Trunz, Elena; Klein, Reinhard; Corsini, Massimiliano; Ferdani, Daniele; Kuijper, Arjan; Kutlu, HasanThe extensive variability in hieroglyph forms, coupled with erosion, fading, damage, and lighting effects, makes hieroglyphic script highly complex and difficult to segment. This complexity, along with the scarcity of labeled data, poses challenges for traditional supervised learning methods. In this paper, we present a novel unsupervised approach for detecting and localizing Egyptian hieroglyphs in images. Our method employs classical computer vision algorithms to generate pseudo-labels, which are then used to train a Faster R-CNN model. Augmented by post-processing techniques, our approach achieves detection results comparable to that of previous supervised methods for hieroglyph segmentation. Evaluated on unseen backgrounds, it demonstrates significant potential for advancing research in Egyptian culture and history.