Eurographics Digital Library
Not a member yet
17121 research outputs found
Sort by
Co-Designing XR Exhibits: Insights from a Domain Expert Workshop on UI and Interaction Features for Cultural Heritage
No full textThis paper explores the design of an Extended Reality (XR) framework for virtual cultural exhibits through a domain expert workshop. The system includes AR (mobile), VR (immersive), a desktop editor, and a server backend. Experts evaluated proposed features like 360° media, inter-artifact relationships, and interactive object manipulation, highlighting their educational value while calling for improved accessibility and gamification. Results demonstrate how participatory design can align XR innovation with cultural heritage needs, offering guidelines for future development.Digital HeritageImmersive and Interactive VR/AR Experiences in Cultural Heritag
From Digitization to Virtual Exhibition of the University of Bologna's ''Collezioni di Antropologia''
No full textThis ongoing project addresses to create a virtual exhibition of the University of Bologna's ''Collezioni di Antropologia''. Due to the challenges in managing the collection and the high preservation risks, the aim is to create a new virtual, appealing and communicative collection setup. The virtual tour will be divided into three significant blocks representing the different sections of the exposed collections in the museum: paleoanthropology and prehistory, skeletal biology, and the origin of biological anthropology in Italy. Selected representative elements of the collection will be digitized using 3D structured light scanners, post-processed and optimized for online enjoyment. Finally, a virtual exhibition space will be modeled to display these elements and help provide a proper understanding of the collections and their virtual exhibition. The online experience, enriched with accessible information and interactive tools, would provide a new and appealing key to increasing public engagement, bringing scientific knowledge to wider audiences, and fostering a deeper public understanding of human history.Digital HeritagePoster
View-Independent Wire Art Modeling via Manifold Fitting
No full textThis paper presents a novel fully automated method for generating view-independent abstract wire art from 3D models. The main challenge in creating line art is to strike a balance among abstraction, structural clarity, 3D perception, and consistent aesthetics from different viewpoints. Many existing approaches have been proposed, including extracting wire art from mesh, reconstructing it from pictures, etc. But they all suffer from the fact that the wires are usually very unorganized and cumbersome and usually can only guarantee the observation effect of specific viewpoints. To overcome these problems, we propose a paradigm shift: instead of predicting the line segments directly, we consider the generation of wire art as an optimizationdriven manifold-fitting problem. Thus we can abstract/generalize the 3D model while retaining the key properties necessary for appealing line art, including structural topology and connectivity, and maintain the three-dimensionality of the line art with a multi-perspective view. Experimental results show that our view-independent method outperforms previous methods in terms of line simplicity, shape fidelity, and visual consistency.Computer Graphics ForumGraphic & Artistic designs44
A Multimodal Dataset for Dialogue Intent Recognition through Human Movement and Nonverbal Cues
No full textThis paper presents a multimodal dataset designed to advance dialogue intent recognition through skeleton-based representations and temporal human movement features. Rather than proposing a new model, our objective is to provide a high-quality, annotated dataset that captures subtle nonverbal cues preceding human speech and interaction. The dataset includes skeletal joint coordinates, facial orientation, and contextual object data (e.g., microphone positions), collected from diverse participants across varied conversational scenarios. In the future research, we will benchmark three types of learning methods and offer comparative insights. The benchmark three types of learning methods will be handcrafted feature models, sequence models (LSTM), and graph-based models (GCN). This resource aims to facilitate the development of more natural, sensor-free, and data-driven human-computer interaction systems by providing a robust foundation for training and evaluation.Pacific Graphics Conference Papers, Posters, and DemosPosters and Demo
HiLo-Align: A Hierarchical Semantic Alignment Framework for Driving Decision Generation via Virtual-Physical Integration
No full textAutonomous vehicles operating in uncertain urban environments are required to reason over complex multi-agent interactions while adhering to stringent safety requirements. Hierarchical frameworks often use large models for high-level (virtual-layer) planning and deep reinforcement learning for low-level (physical-layer) control. However, semantic and temporal misalignment between layers leads to command errors and delayed response. We propose HiLo-Align, a hybrid hierarchical framework that unifies both layers via a shared semantic space and time scale. By explicitly modeling cross-layer alignment, HiLo-Align improves control coordination and semantic consistency. Experimental results on both simulation and real-world datasets indicate enhanced collision avoidance, generalization, and robustness in high-risk urban environments.Pacific Graphics Conference Papers, Posters, and DemosVehicle Dynamics and Interaction
Mediating Art History Data Models for Native Linked Data Construction using ResearchSpace
No full textKey challenges in digital art history concern translating common domain data models to the ontological framework of CIDOC-CRM and the like. This paper reports on the practical and methodological application in a domain, i.e. ritual spaces in medieval Europe, that is predicated on a very specific local model, and on how to operationalize it using the ResearchSpace platform. We illustrate the key challenges with directly building linked data in this domain for integration with other knowledge graphs in the humanities, yet by translating the complexity of CIDOC-CRM to the nuances of the domain model at runtime. Along with templates and knowledge patterns--the semantic tools made available by ResearchSpace--we further extend the platform's core functions, working around their limitations, to integrate external sources like OpenStreetMap and Zotero, in the Mapping Sacred Spaces project. The resulting workflow supports the generation of interoperable Linked Data from the outset, offering reusable modeling patterns and methodological insights applicable to other projects working with structured art history data.Digital HeritageFrom 3D Models to Digital Platforms and Digital Twin
Towards Integrating Visual Analytics in Multi-Perspective Conformance Checking: A Call to Action
No full textThe research fields of Process Mining (PM) and Visual Analytics (VA) can mutually benefit from each other by combining their strengths. PM tasks include process discovery, enhancement, and conformance checking. This paper focuses on conformance checking, where the event log is compared against a reference model to identify potential deviations in process behavior. Conformance checking is often limited to analyzing the control flow (i.e., sequences of activities), while other relevant perspectives present in the data, such as resources and time, are frequently overlooked. These additional perspectives are crucial to form a holistic understanding of deviations and their underlying causes. To address these limitations, we propose a conceptual framework and explore future opportunities for integrating VA with PM to support conformance checking from multiple perspectives. Our contribution emphasizes interactive visualization and analysis for a more flexible and iterative conformance checking process by, for example, allowing to dynamically refine and define additional constraints based on insights from multiple perspectives and making all deviations explainable and understandable.EuroVis Workshop on Visual Analytics (EuroVA)Visual Analytics Applications and System
Visually Exploring Team Communication and Gameplay Events in League of Legends
No full textPopular team-based esport games such as League of Legends rely on effective verbal team communication. Analyzing and reflecting on the own communication behavior is hence a relevant optimization strategy for a team, but needs to be sufficiently contextualized through game events. In this work, we present an analysis approach to investigate both communication and game events in an integrated visual analytics system. Aside to providing overview statistics, this novel blend builds on timeline and word cloud representations to show the rich data from League of Legends game sessions, visually comparing the opposing teams. We demonstrate the approach through analyzing relevant communication patterns in an application example.EuroVis Workshop on Visual Analytics (EuroVA)Visual Analytics Applications and System
Engaging with History: Towards an Interactive Experience of the 1562 Auto de Fe of Maní (Yucatan, Mexico)
No full textThis paper presents the latest developments of the project dedicated to the digital reconstruction of the 1562 Auto de Fe of Maní, a significant event of religious persecution and cultural conflict during the colonial period in Yucatán. Created by the Praeteritas Urbes team, the project uses 3D modeling, game engines, and photogrammetry to create an interactive, historically grounded experience. Furthermore, the project is now exploring the potential of gamification by using serious games as tools for engagement and education. By integrating game-like mechanics and interactive storytelling, the project not only offers insight into this historical event but also promotes digital heritage and cultural preservation from an ethical perspective, encouraging reflection on the complex dynamics of intercultural and religious conflicts inherent in colonialism.Digital HeritageExplorative Approaches for Histor
Efficient Modeling and Rendering of Iridescence from Cholesteric Liquid Crystals
No full textWe introduce a novel approach to the efficient modeling and rendering of Cholesteric Liquid Crystals (CLCs), materials known for producing colorful effects due to their helical molecular structure. CLCs reflect circularly-polarized light within specific spectral bands, making their accurate simulation challenging for realistic rendering in Computer Graphics. Using the two-wave approximation from the Photonics literature, we develop a piecewise spectral reflectance model that improves the understanding of how light interact with CLCs for arbitrary incident angles. Our reflectance model allows for more efficient spectral rendering and fast integration into RGB-based rendering engines. We show that our approach is able to reproduce the unique visual properties of both natural and man-made CLCs, while keeping the computation fast enough for interactive applications and avoiding potential spectral aliasing issues.Eurographics Symposium on RenderingBSDF Models and Scatterin