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17121 research outputs found
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Where Are We Now?
No full textWhere Are We Now? is an interactive physical computing artwork that contrasts moments throughout a recent period of intense changes in Hong Kong. Recalling the use of weaving in early computing and image creation, it is a mechanical display made up of urban landscape images on looped, woven ribbons that expressively rub up against one another. Pulling, snagging and fraying, their tension brings out complications in daily life amid societal shifts. This difficult movement expresses the complex and conflicted nature of Hong Kong's recent history, specifically between 2018 and 2024, the years when the collaged 360- degree/panoramic urban landscape photographs which are printed onto the ribbons were made.ACM/EG Expressive Symposium - WICED: Eurographics Workshop on Intelligent Cinematography and Editing - Artworks, Posters, DemosArtwork
Learning Fast 3D Gaussian Splatting Rendering using Continuous Level of Detail
No full text3D Gaussian splatting (3DGS) has shown potential for rendering photorealistic 3D scenes in real-time. Unfortunately, rendering these scenes on less powerful hardware is still a challenge, especially with high-resolution displays. We introduce a continuous level of detail (CLOD) algorithm and demonstrate how our method can improve performance while preserving as much quality as possible. Our approach learns to order splats based on importance and optimize them such that a representative and realistic scene can be rendered for an arbitrary splat count. Our method does not require any additional memory or rendering overhead and works with existing 3DGS renderers. We also demonstrate the flexibility of our CLOD method by extending it with distance-based LOD selection, foveated rendering, and budget-based rendering.Computer Graphics ForumSplat-tacular Radiance Fields44
Combining Different Techniques for Documenting Medieval Runic Inscriptions
No full textThis poster aims to discuss the limitations and benefits of different imaging techniques when capturing fine inscriptions on objects made of bone, wood and leather, with the explicit goal of producing models suitable for scientific study. The case study is conducted on a corpus of approximately 60 runic inscriptions from medieval Oslo, dating between the 11th and 13th centuries and will be published through the museums existing online web interfaces, Unimusportalen, and BItFROST.Digital HeritagePoster
360° Virtual Tours at the National Roman Museum. Making Culture Heritage Participatory, Accessible, and Personalized
No full textAs agents of social change, museums should promote inclusivity and accessibility. Despite the challenges of achieving this part of the museum's mission, it is possible to address them on a case-by-case basis. This paper outlines a segment of an ongoing doctoral research project at the National Roman Museum (MNR) in Rome, Italy. First, the concepts of inclusivity and accessibility are discussed. Next, it is explored how Virtual Reality (VR) and Digital Storytelling (DST) can enhance inclusive education. Following this, three 360 virtual tours are introduced, integrated with a DST approach, and created in Delightex. This section outlines how the platform operates, its features, and the technical process of creating the tours. The design principles for making the tours accessible and catering to the diverse interests and needs of various audiences are also addressed. At the current stage of the experimental phase, user experience evaluation involved two main groups: experts in IT and design, and the general public, which comprises individuals with varied demographics and digital skills. This paper presents preliminary results from the experimental stage, outlining the next steps for future development and implementation.Digital HeritageStorytelling and Interpretation in Digital Heritag
Procezo: Data Processing Services for 3D Analytics
No full textThe recent spread of metaverse technologies has propelled the digitalization of cultural heritage, particularly the production of 3D models of historical artifacts and sites. This context presents new challenges and opportunities, among these arises the possibility of investigating the design of public engagement and cultural dissemination initiatives through the analytical study of user behavior. With this objective, we developed Procezo, a modular data analysis suite that facilitates the processing and aggregation of user experience data via an easy-to-use web interface, specifically engineered for cultural heritage applications. Indeed, with immersive XR devices, motion-tracking tools, sensors, and online web applications, we can easily record users' experiences in virtual or real environments. From these recorded experiences, with Procezo's specifically developed web-based analytics, we may obtain crucial insights into user interaction patterns. Procezo is part of a larger pilot developed under the H2IOSC project named ''Interlumo''. The pilot is divided into three stages: data capture (Kapto), data processing (Procezo), and data inspection (Merkhet). These stages are based on a strong modular design, both at the logical and software levels. The logical separation allows the implementation of these stages together or separately, and the software separation allows us to run the stages on separate dedicated servers. This modularity allows for greater reuse and scalability. We demonstrate the application of Procezo in data cleaning and preprocessing protocols, as well as its implementation for machine learning (ML) algorithms for pattern discovery, specifically through kernel density estimation (KDE), a reliable non-parametric density estimation methodology. Our implementation is based on a graphical web interface that allows analysts to share and compare different machine learning (ML) pipelines. The presented suite improves the quality and efficiency of the analysis process and enables collaboration between domain and analytics experts. Under the H2IOSC project, we assess Procezo on visitors' experiences exploring a virtual reproduction of Cerveteri Etruscan Tomb, which were captured during remote public exhibits and dissemination events. This approach can be easily applied to several case studies, ranging from interactive installations, to online applications, with the objective of accelerating the detection of interaction patterns.Digital HeritageSemantics-driven Interaction with Digitized Heritag
Representation of Meta-Paradata for H-BIM Models in WebGIS: Paving the Way Towards '3D Scientific Models'
No full textEnsuring authenticity and reliability of 3D models of Cultural Heritage (CH) data is increasingly critical, especially considering the increasing adoption of Artificial Intelligence (AI) in generating content. This paper highlights the importance of metadata and paradata to ensure transparency, authorship, and scientific rigor and considers challenges in creating meta-paradata information and its visualization on the web alongside 3D content. The study explores integrating meta-paradata into WebGIS platforms through tests on document-based Historic-BIM (H-BIM) models from the Turin 1911 project, promoting best practices for accessible, georeferenced, and verifiable '3D scientific models' while preserving CH narratives in virtual 'scrollytelling' environments.Digital HeritageVisual Archives and Historical Imagery in V
Procedural Bump-based Defect Synthesis for Industrial Inspection
No full textAutomated defect detection is critical for quality control, but collecting and annotating real-world defect images remains costly and time-consuming, motivating the use of synthetic data. Existing methods such as geometry-based modeling, normal maps, and image-based approaches often struggle to balance realism, efficiency, and scalability. We propose a procedural method for synthesizing small-scale surface defects using gradient-based bump mapping and triplanar projection. By perturbing surface normals at shading time, our approach enables parameterized control over diverse scratch and dent patterns, while avoiding mesh edits, UV mapping, or texture lookup. It also produces pixel-accurate defect masks for annotation. Experimental results show that our method achieves comparable visual quality to geometry-based modeling, with lower computational overhead and improved surface continuity over static normal maps. The method offers a lightweight and scalable solution for generating high-quality training data for industrial inspection tasks.Eurographics Symposium on RenderingAppearance Modellin
Digital Inpainting of Damaged Frescoes Using a Fine-Tuned Diffusion Model
No full textFrescoes are a vital part of cultural heritage, but they are increasingly deteriorating due to environmental and human factors. Traditional restoration methods are costly, labor-intensive, and may risk compromising the original artwork-particularly when the damaged content is uncertain. These challenges highlight the need for innovative approaches that can complement conventional techniques. This paper explores the application of a deep learning-based method for the virtual restoration of frescoes. The focus is on image inpainting, a process that fills in missing fragments by leveraging information from the undamaged parts of the image, while preserving consistency in texture, color, and artistic style. When enhanced by deep learning models, this approach enables the generation of realistic reconstructions, even for areas where the original appearance is unknown. The study evaluates the effectiveness of fine-tuned models in restoring both minor and major damage, such as small cracks and missing sections, using different sets of hyperparameters. Model performance was assessed using a combination of objective quality metrics and subjective evaluations. Additionally, an intuitive web-based tool was developed to make the restoration process more accessible and user-friendly.Digital HeritageInstrumental and Computational Approaches for CH Conservation and Restauratio
Integrating Multi-Modal Solutions for Personalized and Accessible VR Museum Experiences
No full textVirtual Reality offers the opportunity to provide immersive and engaging experiences that can overcome physical, cultural, and economic barriers. However, defining and implementing principles and methodologies for accessible and inclusive virtual experiences remains a challenge, particularly because such systems must adapt to users with diverse needs related to age, culture, temporary physical conditions, or motor and sensory impairments. This work presents a virtual museum application that integrates multiple functionalities and provides options to address different physical and sensory issues, aiming to adapt the experience as much as possible to each single user. The system is designed to operate in a highly automatic way, minimizing user effort and stress while ensuring a comfortable and engaging experience.Smart Tools and Applications in Graphics - Eurographics Italian Chapter ConferencePoster