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MultiAR: A Multi-User Augmented Reality Platform for Biomedical Education 46

MultiAR: A Multi-User Augmented Reality Platform for Biomedi...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Perz, Markus Luijten, Gijs Kleesiek, Jens Schmalstieg, Dieter Egger, Jan Gsaxner, Christina West German Cancer Center Cancer Research Center Cologne Essen Essen Germany University of Stuttgart Institute for Visualization and Interactive Systems Stuttgart Germany Graz University of Technology Institute of Computer Graphics and Vision Graz Austria University Medicine Essen Institute for Artificial Intelligence in Medicine Essen Germany Essen Germany

ISBN: (纸本)9798350371499

This paper addresses the growing integration of Augmented Reality (AR) in biomedical sciences, emphasizing collaborative learning experiences. We present MultiAR, a versatile, domain-specific platform enabling multi-user interactions in AR for biomedical education. Unlike platform-specific solutions, MultiAR supports various AR devices, including handheld and head-mounted options. The framework extends across domains, augmenting biomedical education applications with collaborative capabilities. We define essential requirements for a multi-user AR framework in education, detail MultiAR's design and implementation, and comprehensively evaluate it using anatomy education examples. Quantitative and qualitative analyses, covering system performance, accuracy metrics, and a user study with 20 participants, highlight the urgent need for a tailored collaborative AR platform in biomedical education. Results underscore enthusiasm for collaborative AR technology, endorsing MultiAR as an accessible, versatile solution for developers and end-users in biomedical education. © 2024 IEEE.

关键词： Augmented reality

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Direct Elastic Unrollings of Painted Pottery Surfaces from Sparse Image Sets

Direct Elastic Unrollings of Painted Pottery Surfaces from S...

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2021 Eurographics Workshop on graphics and Cultural Heritage, EG GCH 2021

作者： Houska, Peter Lengauer, Stefan Karl, Stephan Preiner, Reinhold Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria University of Graz Institute of Classics Austria

ISBN: (纸本)9783038681410

An important task in archaeological research is the comparison of painted motifs on ancient vessels and the analysis of their painting style. Ideally, the pottery objects are available as scanned 3D models, from which the painted surface can be unrolled and potential distortions minimized, so that the vase painting and its individual motifs can be directly inspected. Unfortunately, the percentage of digitally captured vessels is small compared to the large body of cataloged photographs. In this paper, we present a method that creates distortion-minimized unrollings of painted pottery surfaces directly from a small set of photographs. We achieve this by exploiting prior knowledge about the data, namely that most objects exhibit rotational symmetry and that strict guidelines were followed when capturing photographs of the ancient vases. Based on the distinctly visible object silhouettes in the photographs we are able to extract proxy geometries of the objects which we encode as per-view geometric maps. By stitching the single-view data, we obtain a combined map capturing the geometry and texture of the entire painted surface. This enables us to minimize typical projective distortions by elastic relaxation. Our pipeline works entirely in 2D image space, circumventing time-consuming 3D scans and surface reconstructions of (often inaccessible) vessels. Using a combination of CPU-based image processing and GPU-based relaxation, results are produced in only a few minutes. © 2021 The Eurographics Association.

关键词： Geometry

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Fully Automatic Mechanical Scan Range Extension and Signal to Noise Optimization of a Lens-Shifted Structured Light System

Fully Automatic Mechanical Scan Range Extension and Signal t...

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2021 Eurographics Workshop on graphics and Cultural Heritage, EG GCH 2021

作者： Kutlu, H. Ritz, M. Santos, P. Fellner, D.W. Fraunhofer IGD Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria TU Darmstadt Germany

ISBN: (纸本)9783038681410

Digitization of cultural heritage is of growing importance, both for its preservation for coming generations in the face of looming dangers of natural decay or intentional destruction, and current generations, that increasingly have access to virtual cultural heritage for interactive exploring or scientific analysis. These goals can only be achieved by 3D replicas at reasonable quality and resolution, to come as close as possible to the original. This brings about several challenges to overcome. The challenge of digitizing huge numbers of artefacts is addressed by CultLab3D, the first fully automatic 3D digitization system. Another challenge is the size of objects, as each digitization system is designed for a certain optimum measurement range, leaving which results in loss of quality. Due to optical and mechanical constraints, most systems are not able to faithfully reconstruct objects under a certain size limit in their full geometric detail. Historic coins are one good example, where the deterioration of the surface structure in most cases has progressed to a degree that it not even is perceptible through the fingernail. This challenge is addressed by a modular extension of CultLab3D, the MesoScanner, which is a structured light system that breaks limits in depth resolution through a mechanical lens-shifting extension, allowing physically shifting of fringe patterns on top of the well-known multi-period phase shift method. This is where this work adds two major improvements: First, the signal to noise ratio and thus reconstruction quality has been improved significantly through several algorithmic processing steps. Second, the physical limitation of the measurement range was removed using a 2D actuator steering the object mount, thus allowing for a measurement range at theoretically arbitrary size. This opens up the fully automatic handling of two scenarios: Complete digitization of objects exceeding the measurement range, and unsupervised digitization of large c

关键词： Deterioration

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Automated 3D mass digitization for the GLAM sector

Automated 3D mass digitization for the GLAM sector

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Archiving 2020 Online: Digitization, Preservation, and Access

作者： Santos, Pedro Tausch, Reimar Domajnko, Matevz Ritz, Martin Knuth, Martin Fellner, Dieter Fraunhofer Institute for Computer Graphics Research TU-Darmstadt Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

The European Cultural Heritage Strategy for the 21st century has led to an increased demand for fast, efficient and faithful 3D digitization technologies for cultural heritage artefacts. Yet, unlike the digital acquisition of cultural goods in 2D which is widely used and automated today, 3D digitization often still requires significant manual intervention, time and money. To overcome this, the authors have developed CultLab3D, the world's first fully automatic 3D mass digitization technology for collections of three-dimensional objects. 3D scanning robots such as the CultArm3D-P are specifically designed to automate the entire 3D digitization process thus allowing to capture and archive objects on a large-scale and produce highly accurate photo-realistic representations. © 2020 Society for Imaging Science and Technology

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MultiAR: A Multi-User Augmented Reality Platform for Biomedical Education

MultiAR: A Multi-User Augmented Reality Platform for Biomedi...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Markus Perz Gijs Luijten Jens Kleesiek Dieter Schmalstieg Jan Egger Christina Gsaxner Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Institute for Artificial Intelligence in Medicine University Medicine Essen Essen Germany Cancer Research Center Cologne Essen West German Cancer Center Essen Germany Institute for Visualization and Interactive Systems University of Stuttgart Stuttgart Germany Virtual and Extended Reality in Medicine (ZvRM) University Hospital Essen Essen Germany

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

This paper addresses the growing integration of Augmented Reality (AR) in biomedical sciences, emphasizing collaborative learning experiences. We present MultiAR, a versatile, domain-specific platform enabling multi-user interactions in AR for biomedical education. Unlike platform-specific solutions, MultiAR supports various AR devices, including handheld and head-mounted options. The framework extends across domains, augmenting biomedical education applications with collaborative capabilities. We define essential requirements for a multi-user AR framework in education, detail MultiAR’s design and implementation, and comprehensively evaluate it using anatomy education examples. Quantitative and qualitative analyses, covering system performance, accuracy metrics, and a user study with 20 participants, highlight the urgent need for a tailored collaborative AR platform in biomedical education. Results underscore enthusiasm for collaborative AR technology, endorsing MultiAR as an accessible, versatile solution for developers and end-users in biomedical education.

关键词： Measurement Accuracy Federated learning System performance Education Collaboration Anatomy Engineering in medicine and biology Augmented reality

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End-to-end Color 3D reproduction of cultural heritage artifacts: Roseninsel replicas

End-to-end Color 3D reproduction of cultural heritage artifa...

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2019 Eurographics Workshop on graphics and Cultural Heritage, GCH 2019

作者： Domajnko, M. Tanksale, T. Tausch, R. Ritz, M. Knuth, M. Santos, P. Fellner, D.W. TU Darmstadt and Fraunhofer Institute for Computer Graphics Research Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

ISBN: (纸本)9783038680826

Planning exhibitions of cultural artifacts is always challenging. Artifacts can be very sensitive to the environment and therefore their display can be risky. One way to circumvent this is to build replicas of these artifacts. Here, 3D digitization and reproduction, either physical via 3D printing or virtual, using computer graphics, can be the method of choice. For this use case we present a workflow, from photogrammetric acquisition in challenging environments to representation of the acquired 3D models in different ways, such as online visualization and color 3D printed replicas. This work can also be seen as a first step towards establishing a workflow for full color end-to-end reproduction of artifacts. Our workflow was applied on cultural artifacts found around the "Roseninsel" (Rose Island), an island in Lake Starnberg (Bavaria), in collaboration with the Bavarian State Archaeological Collection in Munich. We demonstrate the results of the end-to-end reproduction workflow leading to virtual replicas (online 3D visualization, virtual and augmented reality) and physical replicas (3D printed objects). In addition, we discuss potential optimizations and briefly present an improved state-of-the-art 3D digitization system for fully autonomous acquisition of geometry and colors of cultural heritage objects. © 2019 Eurographics Association.

关键词： Color

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Lossless compression of multi-view cultural heritage image data

Lossless compression of multi-view cultural heritage image d...

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2019 Eurographics Workshop on graphics and Cultural Heritage, GCH 2019

作者： Buelow, Max Von Guthe, Stefan Ritz, Martin Santos, Pedro Fellner, Dieter W. TU Darmstadt Germany Fraunhofer IGD Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

ISBN: (纸本)9783038680826

Photometric multi-view 3D geometry reconstruction and material capture are important techniques for cultural heritage digitalization. Capturing images of artifacts with high resolution and high dynamic range and the possibility to store them losslessly enables future proof application of this data. As the images tend to consume immense amounts of storage, compression is essential for long time archiving. In this paper, we present a lossless image compression approach for multi-view and material reconstruction datasets with a strong focus on data created from cultural heritage digitalization. Our approach achieves compression rates of 2:1 compared against an uncompressed representation and 1.24:1 when compared against Gzip. © 2019 Eurographics Association.

关键词： Image reconstruction

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Direct limit volumes: Constant-time limit evaluation for Catmull-clark solids 26

Direct limit volumes: Constant-time limit evaluation for Cat...

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26th Pacific Conference on computer graphics and Applications, Pacific graphics 2018

作者： Altenhofen, C. Müller, J. Weber, D. Stork, A. Fellner, D.W. Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Technische Universität Darmstadt Darmstadt Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Graz Austria

ISBN: (纸本)9783038680734

We present a novel approach for efficient limit volume evaluation on Catmull-Clark (CC) subdivision solids. Although several analogies exist between subdivision surfaces and subdivision volumes, extending Stam’s limit evaluation technique from 2 to 3 dimensions is not straightforward, as irregularities and boundaries introduce new challenges in the volumetric case. We present new direct evaluation techniques for irregular volumetric topologies and boundary cells, which allow for calculating the limit of CC subdivision solids at arbitrary parameter values in constant time. Evaluation of limit points is a central aspect when using CC solids for applications such as simulation and multi-material additive manufacturing, or as a compact volumetric representation scheme for continuous scalar fields. We demonstrate that our approach is faster than existing evaluation techniques for every topological configuration or target parameter (u, v, w) that requires more than two local subdivision steps. © 2018 The Author(s).

关键词： Topology

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Elastic flattening of painted pottery surfaces

Elastic flattening of painted pottery surfaces

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2018 Eurographics Workshop on graphics and Cultural Heritage, GCH 2018

作者： Preiner, Reinhold Karl, Stephan Baye, Paul Schreck, Tobias Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria University of Graz Department of Archaeology Austria

ISBN: (纸本)9783038680574

Generating flat images from paintings on curved surfaces is an important task in Archaeological analysis of ancient pottery. It allows comparing styles and painting techniques, e.g, for style and workshop attribution, and serves as basis for domain publications which typically use 2d images. To obtain such flat images from scanned textured 3d models of the pottery objects, current practice is to perform so-called rollouts using approximating shape primitives like cones or spheres, onto which the mesh surfaces are projected. While this process provides in intuitive deformation metaphor for the users, it naturally introduces unwanted distortions in the mapping of the surface, especially for vessels with high-curvature profiles. In this work, we perform an elastic flattening of these projected meshes, where stretch energy is minimized by simulating a physical relaxation process on a damped elastic spring model. We propose an intuitive contraction-directed physical setup which allows for an efficient relaxation while ensuring a controlled convergence. Our work has shown to produce images of significantly improved suitability for domain experts' tasks like interpretation, documentation and attribution of ancient pottery. © 2018 GCH 2018 - Eurographics Workshop on graphics and Cultural Heritage. All rights reserved.

关键词： Textures

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Visual Analysis of Urban Traffic Data based on High-Resolution and High-Dimensional Environmental Sensor Data 6

Visual Analysis of Urban Traffic Data based on High-Resoluti...

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6th Workshop on Visualisation in Environmental Sciences, EnvirVis 2018 at EuroVis 2018

作者： Häußler, Johannes Stein, Manuel Seebacher, Daniel Janetzko, Halldor Schreck, Tobias Keim, Daniel A. University of Konstanz Department of Computer and Information Science Germany University of Zurich Department of Geography Switzerland Graz University of Technology Institute for Computer Graphics and Knowledge Visualization Austria

ISBN: (纸本)9783038680635

Urbanization is an increasing global trend resulting in a strong increase in public and individual transportation needs. Accordingly, a major challenge for traffic and urban planners is the design of sustainable mobility concepts to maintain and increase the long-term health of humans by reducing environmental pollution. Recent developments in sensor technology allow the precise tracking of vehicle sensor information, allowing a closer and more in-depth analysis of traffic data. We propose a visual analytics system for the exploration of environmental factors in these high-resolution and high-dimensional mobility sensor data. Additionally, we introduce an interactive visual logging approach to enable experts to cope with complex interactive analysis processes and the problem of the reproducibility of results. The usefulness of our approach is demonstrated via two expert studies with two domain experts from the field of environment-related projects and urban traffic planning. © 2018 The Author(s) Eurographics Proceedings © 2018 The Eurographics Association.

关键词： computer graphics

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