Eurographics Digital Library
Not a member yet
17121 research outputs found
Sort by
Aerial point cloud classification in archaeological scenarios
No full textLiDAR point clouds are becoming more and more used and important in archaeology for revealing ancient structures hidden below canopy. The tutorial will present how 3D semantic segmentation in aerial archaeological point clouds could support the identification of hidden structures and the interpretation of heritage scenarios.Digital HeritageTutorial
Sun Stones Chronicles: Enriching the Bornholms Museum Brightest Artifact Collection through 3D Scanning and Semantic Web Technologies
No full textGalleries, libraries, archives, and museums increasingly rely on 3D digitization, web visualization, and 3D printing to document, analyze, and share cultural artifacts in novel ways that ensure digital preservation and engage visitors. This paper showcases how handheld structured-light 3D scanning, WebGL visualization, and semantic web technologies have been leveraged to digitize and enhance access to Denmark's cultural heritage, focusing on the Bornholms Museum collection. We have developed a streamlined digitization workflow that produces highly detailed digital twins of Neolithic artifacts from the sites of Vasagård and nearby Rispebjerg, archiving them in ways compatible with the Danish national database for archaeological heritage while utilizing the latest data curation and dissemination techniques and standards, such as WebGL visualization and FAIR principles. The significance of exploring the rich archaeological materials found at these sites located on the island of Bornholm, Denmark, lies in the fact that digitization and digital exploration enhance our understanding of the types and histories of interactions among different groups and farming communities in the Baltic, including their technology, religion, and social organization. By enriching the digital twins with symbolic and cultural interpretations and structuring data using the CIDOC Conceptual Reference Model and the ICON Ontology, our results demonstrate how to successfully integrate 3D heritage datasets with other global heritage resources. This expands access to Denmark's ancient history and allows the Bornholms Museum to reach new audiences both locally and internationally.Digital HeritageDigitization Case Studie
Rome Reborn: Status Report and Future of the Project
No full textRome Reborn is an international initiative launched in 1996 to create a digital model of ancient Rome as it may have appeared in 320 CE. The model serves two primary purposes: as a visual resource for virtual tours and as a tool for ''simpirical'' research-a hybrid method combining simulation and empiricism. We trace the development of the model through its four major versions and explain the historical and technological factors that shaped its evolution. We also outline ongoing work, including a final report situating the project within the history of visualizing ancient Rome and the creation of an online database documenting the evidence and decisions behind the reconstruction.Digital HeritageInfrastructures, Platforms and Digital Ecosystem
Evaluating the Impact of Lighting Conditions on Photogrammetric Acquisition of Cultural Heritage
No full textAccurate documentation of cultural heritage artifacts is essential for study, conservation, and exhibition. While optimal lighting is known to minimize photogrammetric uncertainty, the quantitative impact of progressively deteriorating illumination, when compensated by ISO adjustments, remains underexplored. This study experimentally evaluates how varying ISO levels affect the geometric accuracy of dense 3D point clouds generated through Structure from Motion / Image Matching (SfM/IM). A sandstone sample, previously digitized with a high accuracy structured light scanner, served as the reference model. Three cameras of different generations were tested in a controlled darkroom, with lighting progressively reduced and exposure adjusted to maintain correct image brightness. Results reveal an unexpectedly stable measurement uncertainty across a wide ISO range (ISO 100-51,200 for the Sony α7R IV, ISO 100-6,400 for the Nikon D810, and ISO 100- 3,200 for the Canon EOS 4000D), followed by a sharp accuracy drop at the highest ISO setting of each device. While geometric accuracy remained largely unaffected within these ranges, tie point counts decreased and reprojection errors increased steadily with ISO, indicating a gradual loss of feature robustness. These findings show that modern sensors can sustain high-accuracy photogrammetry far beyond traditionally accepted ISO limits, offering practical tolerance thresholds for reliable heritage documentation under challenging lighting conditions.Digital HeritageDigitization and Technolog
HERIX: An integrated platform for creating Immersive, Interactive and Liquid eXtended Reality experiences for Cultural Heritage
No full textThe increasing demand for interactive and immersive experience in the field of cultural heritage (CH) has stimulated the exploration of novel approaches to engage audiences with cultural assets. Extended Reality (XR) technology has emerged as a powerful tool in this domain, offering high-quality, immersive, and interactive experiences that enhance the appreciation of cultural and natural heritage. Despite their potential, the widespread adoption of XR solutions remains limited, primarily due to the technical complexity associated with content creation and the need to ensure compatibility across a broad range of XR devices. To address these challenges, this paper presents HERIX, a scalable and modular platform designed for the creation and deployment of XR scenarios. HERIX provides an integrated environment that enables content creators with limited programming skills to develop interactive XR experiences while allowing visitors to engage with them. The platform consists of three key components: an authoring tool for scenario creation, two XR applications for content consumption, and a web server for data access and management. By streamlining the authoring process, HERIX lowers technical barriers and enhances accessibility. A preliminary evaluation through two user studies highlighted its potential and appeal within cultural contexts.Digital HeritageXR Platforms and Frameworks for Cultural Engagemen
Designing Augmented Reality Storytelling in Historical Palaces: The Royal Palace of Caserta as a Case Study
No full textThis paper presents a structured framework for designing spatial augmented reality (AR) storytelling in historical palaces, addressing the specific narrative and spatial challenges posed by these culturally layered environments. The framework identifies eight critical decision points that guide narrative design, including story orientation, site-specific methods, narrative scale, mediation strategies, and augmentation techniques. Its application is demonstrated through the design of an AR storytelling experience for the Queen's Apartments of the Royal Palace of Caserta, based atop a high-resolution digital twin of the palace, which served as the spatial foundation for precise, location-based augmented reality interactions. Leveraging the framework, the work proposes a narrative concept centered on experiencing the palace through the eyes of Queen Maria Carolina of Habsburg. Rather than offering a complete mobile application design, the framework provides a narrative backbone that supports coherent, scalable, and historically sensitive AR experiences in historical palaces and offers cultural heritage professionals a flexible yet grounded design tool to prototype, iterate, and expand AR storytelling strategies in complex heritage environments.Digital HeritageDigital Technologies for CHANGES (CHANGES SESSION) - Part
GNF: Gaussian Neural Fields for Multidimensional Signal Representation and Reconstruction
No full textNeural fields have emerged as a powerful framework for representing continuous multidimensional signals such as images and videos, 3D and 4D objects and scenes, and radiance fields. While efficient, achieving high-quality representation requires the use of wide and deep neural networks. These, however, are slow to train and evaluate. Although several acceleration techniques have been proposed, they either trade memory for faster training and/or inference, rely on thousands of fitted primitives with considerable optimization time, or compromise the smooth, continuous nature of neural fields. In this paper, we introduce Gaussian Neural Fields (GNF), a novel compact neural decoder that maps learned feature grids into continuous non-linear signals, such as RGB images, Signed Distance Functions (SDFs), and radiance fields, using a single compact layer of Gaussian kernels defined in a high-dimensional feature space. Our key observation is that neurons in traditional MLPs perform simple computations, usually a dot product followed by an activation function, necessitating wide and deep MLPs or high-resolution feature grids to model complex functions. In this paper, we show that replacing MLP-based decoders with Gaussian kernels whose centers are learned features yields highly accurate representations of 2D (RGB), 3D (geometry), and 5D (radiance fields) signals with just a single layer of such kernels. This representation is highly parallelizable, operates on low-resolution grids, and trains in under 15 seconds for 3D geometry and under 11 minutes for view synthesis. GNF matches the accuracy of deep MLP-based decoders with far fewer parameters and significantly higher inference throughput. The source code is publicly available at https://grbfnet.github.io/.Computer Graphics ForumGaussian Splatting44
Designing Authentic Digital Experiences
No full textThe concept of authenticity has gained growing importance in the design of digital, hybrid, and XR experiences within the Cultural Heritage (CH) sector. In earlier research [PCS24], we examined authenticity through a multidisciplinary lens, combining a state-of-the-art review with empirical data collected via a Cultural Probe Kit (CPK) to explore user perceptions of authenticity in interactive experiences. From this, we developed a multidimensional authenticity framework, structured around three core dimensions: Self, Others, and World. This paper focuses on translating that framework into actionable design strategies through the PERCEIVE Co-design tool-a free resource composed of a card deck, board worksheets, and activity guidelines. Available as both a physical board game and a web app (in development), the tool supports designers and cultural experts through a step-by-step process to ensure authenticity is embedded in the experience design. By encouraging collaboration and creativity, it promotes the development of engaging, emotionally resonant digital experiences. Additionally, we created a custom GPT assistant to support iterative brainstorming and UX ideation around authenticity. The co-design outcomes were then used to shape the exhibition design strategy of Reconstruct & Relive, the final showcase of the PERCEIVE project (Ch.3).Digital HeritagePERCEIVE: Exhibiting the ''Unexhibitable'
Arches: A Cycle-Level Hardware Simulation Framework for Exploring Massively Parallel Ray Tracing Architectures
No full textWe introduce Arches, a hardware simulation framework designed to explore and evaluate massively parallel ray-tracing architectures. Operating at the cycle level, Arches captures detailed performance metrics, including computational throughput, onchip data movement across processors, caches, and off-chip communication via an accurate memory system model. The framework is modular, allowing flexible configuration and interconnection of processor cores, caches, and custom hardware units, enabling easy exploration of diverse hardware architectures. Arches supports high-performance parallel execution, simulating complex ray tracing workloads to image completion. It leverages the GNU toolchain, allowing users to write C++ software targeting both the simulated architecture and native execution for debugging, including support for custom instructions to control specialized hardware components. The framework provides comprehensive performance instrumentation, offering insights into time-varying statistics across all modules and identifying performance bottlenecks. Our evaluations demonstrate that Arches delivers performance estimates closely matching real hardware, offering faster and more accurate simulations than existing open-source hardware simulators. Its modularity also makes it a valuable tool for exploring alternative parallel computing strategies for high-performance ray tracing, and its extensibility enables adaptation for other workloads or general-purpose computation.Computer Graphics ForumGraphics Simulators, Systems and Compilers44
Reinterpreting Heritage Site Through Collective Memory and Augmented Reality - The Case of Nanjing's Great Bao'en Temple
No full textNanjing Great Bao'en Temple is a historically stacked temple site and an iconic symbol of Chinese architectural heritage, having undergone multiple cycles of destruction and reconstruction. This paper presents Blooming Memory, a mobile AR-based interactive experience designed to reinterpret the temple's history through spatialized textual memory narratives from different historical periods. Rather than recreating lost physical structures, the project visualizes shifting interpretations and stories tied to the site, highlighting its intangible and evolving heritage. By combining AR spatial design, scenario-based narrative visualization, and participatory interaction, Blooming Memory explores new possibilities for engaging visitors with heritage beyond static reconstructions. The study demonstrates AR's potential to support layered storytelling and user engagement in digital heritage contexts.Digital HeritageNarratives, Multimodality, and Emotional Engagement in Heritag