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45th Annual Conference on European Association for computer graphics, EUROgraphics 2024

作者： Pehlić, Abdulmelik Augsdörfer, Ursula Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

ISBN: (纸本)9783038682387

The rapid shift to remote education has presented numerous challenges for educators and students alike. Virtual Reality (VR) has emerged as a promising solution, offering immersive and interactive learning experiences. We design and implement a synchronous, browser-based VR teaching tool. The tool is compatible with budget VR equipment and enables meaningful engagement between teachers and students in a virtual setting, as well as active participation and interaction across a range of platforms, thus solving a range of disadvantages of current approaches. © 2024 The Authors.

关键词： Virtual environments

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Towards Crowd-Sourced Collaborative Fragment Matching

Towards Crowd-Sourced Collaborative Fragment Matching

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2023 Eurographics Workshop on graphics and Cultural Heritage, GCH 2023

作者： Houska, P. Kloiber, S. Masur, A. Lengauer, S. Karl, S. Preiner, R. Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria University of Graz Institute of Classics Austria

ISBN: (纸本)9783038682172

Many artifacts of our archaeological heritage are preserved only in fragments. The reassembly of these parts to their original form is therefore an essential task for archaeologists. Our project aims at incorporating the intellect of many participants from the broad public in the solution of this complex task. To this end, we develop a web-based 3D environment, in which users can interactively and collaboratively reassemble virtual fragments of real-world artifacts, supported by computer-aided methods. Our primary research focus lies on identifying how to best design and setup such a system in order to maximize the collaboration efficiency. By participating in this open reassembly process, users can gain valuable insight into the archaeological task, thus raising awareness for our common cultural heritage in a multitude of people. © ISVR,2023 *** rights reserved

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AI Based Image Segmentation of Cultural Heritage Objects used for Multi-View Stereo 3D Reconstructions

AI Based Image Segmentation of Cultural Heritage Objects use...

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2023 Eurographics Workshop on graphics and Cultural Heritage, GCH 2023

作者： Kutlu, H. Brucker, F. Kallendrusch, B. Santos, P. Fellner, D.W. TU Darmstadt & Fraunhofer IGD Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

ISBN: (纸本)9783038682172

Image segmentation (or masking) finds a very useful use case within 3D reconstruction of cultural heritage objects. The 3D reconstructions can be accelerated, reconstructing the object without any background noise. Conventional segmentation methods can calculate erroneous masks for certain objects and environments, which can lead to errors within the reconstruction: Parts of the 3D reconstruction may be missing or are incorrectly reconstructed, which contradicts adequate archiving. The automated iterative Multi-View Stereo (MVS) scanning process makes it necessary to obtain masks that reconstruct the object in the best possible way, regardless of the environment, the stabilizing mount, the color of the background and the object. In addition, it should not be necessary to tweak the best possible parameters for conventional masking procedures and to create masks manually. State-of-the-art artificial intelligence (AI) segmentation networks will be trained and applied to the MVS scans to verify the behavior of the associated 3D reconstructions and the automated iterative scanning process. In addition, a comparison between different AI segmentation networks and a comparison between conventional masking methods and AI segmentation networks is performed. © ISVR,2023 *** rights reserved

关键词： Image segmentation

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Efficient Point Cloud Skeletonization with Locally Adaptive L1-Medial Projection 30

Efficient Point Cloud Skeletonization with Locally Adaptive ...

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30th International Conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2022

作者： Lengauer, Stefan Houska, Peter Preiner, Reinhold Institute of Computer Graphics and Knowledge Visualization Graz University of Technology Inffeldgasse 16c Graz8010 Austria

ISBN: (纸本)9788086943336

3D line skeletons are simplistic representations of a shape's topology which are used for a wide variety of geometry-processing tasks, including shape recognition, retrieval, and reconstruction. Numerous methods have been proposed to generate a skeleton from a given 3D shape. While mesh-based methods can exploit existing knowledge about the shape's topology and orientation, point-based techniques often resort to precomputed per-point normals to ensure robustness. In contrast, previously proposed techniques for unprocessed point clouds either exhibit inferior robustness or require expensive operations, which in turn increases computation time. In this paper, we present a new and highly efficient skeletonization approach for raw point cloud data, which produces overall competitive results compared to previous work, while exhibiting much lower computation times. Our algorithm performs robustly in the face of noisy and fragmented inputs, as they are usually obtained from real-world 3D scans. We achieve this by first transferring the input point cloud into a Gaussian mixture model (GMM), obtaining a more compact representation of the surface. Our method then iteratively projects a small subset of the points into local L1-medians, yielding a rough outline of the shape's skeleton. Finally, we present a new branch detection technique to obtain a coherent line skeleton from those projected points. We demonstrate the capabilities of our proposed method by extracting the line skeletons of a diverse selection of input shapes and evaluating their visual appearance as well as the efficiency compared to alternative state-of-the-art methods. © 2022 University of West Bohemia. All rights reserved.

关键词： Topology

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Integrating GPU-Accelerated Tetrahedral Mesh Editing and Simulation 1

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11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2021

作者： Ströter, Daniel Halm, Andreas Krispel, Ulrich Mueller-Roemer, Johannes S. Fellner, Dieter W. Interactive Graphics Systems Group TU Darmstadt Darmstadt Germany Fraunhofer Austria Research GmbH Vienna Austria Institute of Computer Graphics and Knowledge Visualization TU Graz Graz Austria Fraunhofer IGD Darmstadt Germany

ISBN: (数字)9783031231490

ISBN: (纸本)9783031231483

The use of computer-aided methods for the design of parts that must meet functional or stability requirements typically consists of an iterative cycle of design, physical simulation and testing or analysis, followed by redesign, etc. Each step is often performed with a domain-specific tool, e.g., a specific CAD modeling suite. This results in the need to convert the model representation between steps, such as meshing for finite element simulation for example. In recent work, a distributed application framework has been proposed that allows for the interactive modification and simulation of tetrahedral meshes derived from existing CAD models, e.g., to create customized versions of parts that were designed for mass production. This shortens the design cycle by eliminating the need for conversion and switching between tools. In this paper, we present a more detailed description and improvements to this architecture by using GPU parallelization not only for simulation but also for mesh editing, which leads to even shorter iteration cycles. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： computer aided design

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Automated classification of crests on pottery sherds using pattern recognition on 2D images

Automated classification of crests on pottery sherds using p...

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20th Eurographics Workshop on graphics and Cultural Heritage, GCH 2022

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

ISBN: (纸本)9783038681786

Manual classification of artefacts is a labor intensive process. Based on 2D images and 3D scans of - for example - ceramic shards, we developed a pattern recognition algorithm which automatically extracts relief features for each newly recorded object and tries to automate the classification process. Based on characteristics found, previously unknown objects are automatically corelated to already classified objects of a collection exhibiting the greatest similarity. As a result, classes of artefacts form iteratively, which ultimately also corresponds to the overall goal which is the automated classification of entire collections. The greatest challenge in developing our software approach was the heterogeneity of reliefs, and in particular the fact that current machine learning approaches were out of question due to the very limited number of objects per class. This led to the implementation of an analytical approach that is capable of performing a classification based on very few artefacts. © ISVR,2023 *** rights reserved

关键词： Iterative methods

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Context-based Surface Pattern Completion of Ancient Pottery

Context-based Surface Pattern Completion of Ancient Pottery

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20th Eurographics Workshop on graphics and Cultural Heritage, GCH 2022

作者： Lengauer, Stefan Preiner, Reinhold Sipiran, Ivan Karl, Stephan Tinkl, Elisabeth Bustos, Benjamin Schreck, Tobias Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria University of Chile Department of Computer Science Chile University of Graz Institute of Classics Austria

ISBN: (纸本)9783038681786

Among various ancient cultures it was common practice to adorn pottery artifacts with lavish surface decoration. While the applied painting styles, color schemes and displayed mythological content may vary greatly, the presence of simple patterns which appear in a repetitive manner can be observed across civilizations and periods. Such pattern sequences generally are arranged in a structured manner in ornament bands or columns that extend over the entire surface of the object. Due to the poor conservation state of many cultural heritage objects, parts of the surface are oftentimes badly damaged or missing altogether. Yet, if the majority of a pattern sequence is preserved, this information can be leveraged to approximate its missing parts. We present an approach that allows the fully automatic determination of the generation rule inherent to a repetitive surface pattern. Based on this generation rule and the preserved patterns from the same pattern class we propose a workflow for reconstruct missing or damaged parts of the surface painting. We evaluate our approach by applying it to a selection of pottery from ancient Peruvian and Greek cultures, showing that our automatic approach is able to handle a variety of problem cases. © ISVR,2023 *** rights reserved

关键词： computer vision

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GraMMaCAD: INTERACTIVELY DEFINING SPATIALLY VARYING FGMS ON BREP CAD MODELS

GraMMaCAD: INTERACTIVELY DEFINING SPATIALLY VARYING FGMS ON ...

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ASME 2022 International Design Engineering Technical Conferences and computers and Information in Engineering Conference, IDETC-CIE 2022

作者： Luu, Thu Huong Altenhofen, Christian Stork, André Fellner, Dieter TU Darmstadt Interactive Graphics Systems Group Darmstadt64283 Germany Fraunhofer IGD Darmstadt64283 Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Graz8010 Austria

ISBN: (纸本)9780791886212

Additive manufacturing (AM) has enabled control over heterogeneous materials and structures in ways that were not previously possible, including functionally graded materials (FGM). However, typical computer aided design (CAD) systems – mainly based on boundary representations (B-Rep) – are not built for modeling and representing spatially varying material information, which are the key features for designing FGM parts. While volumetric representations (V-Rep) such as tetrahedral or hexahedral meshes, trivariate splines or subdivision solids can hold the necessary FGM information, they are by default not compatible with existing CAD models. Thus, the capabilities of AM motivate enhancing CAD systems to support volumetric material allocation and distribution. We present an interactive, intuitive and efficient interaction concept based on grading features and transition functions for augmenting CAD models with smooth volumetric material gradients for multi-material fabrication using our system called GraMMaCAD (Graded Multi-Material CAD). This concept has the advantage of being extremely versatile, since the material property functions are left to the arbitrariness of the user, who is free to modify their definition as needed. By providing interactive preview modes, the system allows for efficient exploration of the volumetric gradation of the designed FGM part. We fabricated two functional examples that demonstrate the usability of the system and show the ability to quickly augment models with functionally graded material transitions. Copyright © 2022 by ASME.

关键词： Functionally graded materials

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Profiling and Visualizing GPU Memory Access and Cache Behavior of Ray Tracers

Profiling and Visualizing GPU Memory Access and Cache Behavi...

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22nd Eurographics Symposium on Parallel graphics and visualization, EGPGV 2022

作者： von Buelow, Max Riemann, Kai Guthe, Stefan Fellner, Dieter W. Technical University of Darmstadt Germany Germany Fraunhofer IGD Germany Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

ISBN: (纸本)9783038681755

Graphical processing units (GPUs) have gained popularity in recent years due to their efficiency in running massively parallel applications. Recent developments have also adapted ray-tracing algorithms to the GPU, where the bottleneck in the overall performance is usually given by the memory bandwidth. In this paper, we present an interactive, web-based visualization tool for GPU memory traces that provides visual insight into the memory and cache behavior of our reference ray tracer, by mapping internal GPU state back onto 3D objects. In order to visualize cache behavior, we use reuse distances on both GPU cache layers that are calculated on the basis of memory traces extracted from a real GPU using binary instrumentation. An advantage of our system is that it runs independently of the ray-tracing program. We further show visualizations of our GPU ray tracer and compare the visualizations of several ray-tracing approaches. We find our work to act as a convenient toolset to gather insights on which data structures and mesh regions can be cached efficiently, and how ray-tracing acceleration structures behave on various input meshes, bounding volume hierarchies, memory layouts, frame buffer resolutions, and work distribution techniques. © 2022 The Author(s) Eurographics Proceedings © 2022 The Eurographics Association.

关键词： visualization

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CROSS-MODAL SEARCH AND EXPLORATION OF GREEK PAINTED POTTERY

arXiv

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arXiv 2023年

作者： Trinkl, Elisabeth Karl, Stephan Lengauer, Stefan Preiner, Reinhold Schreck, Tobias University of Graz Institute of Classics Austria Graz University of Technology Institute of Computer Graphics and Knowledge Visualization Austria

This paper focuses on digitally-supported research methods for an important group of cultural heritage objects, the Greek pottery, especially with figured decoration. The design, development and application of new digital methods for searching, comparing, and visually exploring these vases needs an interdisciplinary approach to effectively analyse the various features of the vases, like shape, decoration, and manufacturing techniques, and relationships between the vases. We motivate the need and opportunities by a multimodal representation of the objects, including 3D shape, material, and painting. We then illustrate a range of innovative methods for these representations, including quantified surface and capacity comparison, material analysis, image flattening from 3D objects, retrieval and comparison of shapes and paintings, and multidimensional data visualization. We also discuss challenges and future work in this area. Copyright © 2023, The Authors. All rights reserved.

关键词： Three dimensional computer graphics

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