VMV2020

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https://diglib.eg.org/handle/10.2312/2632934

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Data Reconstruction from Colored Slice-and-Dice Treemaps
(The Eurographics Association, 2020) Henkel, Markus; Knauthe, Volker; Landesberger, Tatiana von; Guthe, Stefan; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
Treemaps illustrate hierarchical data, such as file systems or budget structures. Colors are often used to encode additional information or to emphasize the tree structure. Given a treemap, one may want to retrieve the underlying data. However, treemap reconstruction is challenging, as the inner tree structure needs to be derived almost exclusively from leaf node rectangles. Furthermore, treemaps are well known to suffer from ambiguities, i.e., different input data may produce the same drawing. We present a novel reconstruction approach for slice-and-dice treemaps. Moreover, we evaluate the influence of five color schemes to resolve ambiguities. Our work can be used for the reproducibility of published data and for assessing ambiguities in slice-and-dice treemaps.
Partial Matching of Trajectories with Particle Orientation for Exploratory Trajectory Visualization
(The Eurographics Association, 2020) Kahlert, Franziska; Gumhold, Stefan; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
Trajectories of moving objects are of interest in multiple research fields ranging from geographic information science to behavioral science. Movement patterns of the studied object are often analyzed. Therefore, similar trajectories are retrieved which introduces the need for a similarity measure of trajectories. Similarity measures taken the shape of the trajectory into account are widely researched. Though, there are more attributes that can be relevant to distinguish different movements. One of them is the object orientation along the trajectory. The orientation is of interest in research fields where it influences the movement behavior like the impact of external forces in particles simulations. Trajectory retrieval taking particle orientation into account is still an open research question. Therefore, this work presents a similarity measure for trajectory retrieval considering the complex interaction of linear and rotational movement of particles. Furthermore, the similarity measure applies partial matching allowing for exploration of trajectory parts such as events that may occur along a trajectory tracked over a long time. The proposed algorithm is incorporated into an application for exploratory trajectory visualization.
Real-time High-resolution Visualisation
(The Eurographics Association, 2020) Frieß, Florian; Müller, Christoph; Ertl, Thomas; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
While visualisation often strives for abstraction, the interactive exploration of large scientific data sets like densely sampled 3D fields or massive particle data sets still benefits from rendering their graphical representation in large detail on high-resolution displays such as Powerwalls or tiled display walls driven by multiple GPUs or even GPU clusters. Such visualisation systems are typically rather unique in their setup of hardware and software which makes transferring a visualisation application from one high-resolution system to another one a complicated task. As more and more such visualisation systems get installed, collaboration becomes desirable in the sense of sharing such a visualisation running on one site in real time with another highresolution display on a remote site while at the same time communicating via video and audio. Since typical video conference solutions or web-based collaboration tools often cannot deal with resolutions exceeding 4K, with stereo displays or with multi- GPU setups, we designed and implemented a new system based on state-of-the-art hardware and software technologies to transmit high-resolution visualisations including video and audio streams via the internet to remote large displays and back. Our system architecture is built on efficient capturing, encoding and transmission of pixel streams and thus supports a multitude of configurations combining audio and video streams in a generic approach.
Segmenting Computer-Tomographic Scans of Ancient Clay Artefacts for Visual Analysis of Cuneiform Inscriptions
(The Eurographics Association, 2020) Rolff, Tim; Rautenhaus, Marc; Olbrich, Stephan; Frintrop, Simone; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
We address the automatic segmentation of computer tomographic scans of ancient clay tablets with cuneiform inscriptions enclosed inside a clay envelope. Such separation of parts of similar material properties in the scan enables domain scientists to virtually investigate the historically valuable artefacts by means of 3D visualization without physical destruction.We investigate two segmentation methods, the Priority-Flood algorithm and the Compact Watershed algorithm, the latter being modified by employing a distance metric that takes the ellipsoidal shape of the artefacts into account. Additionally, we propose a novel presegmentation method that suppresses the intensity values of the distance transform at contact points between clay envelope and tablet. We apply all methods to volumetric scans of a replicated clay tablet and analyze their performance under varying noise distributions. Evaluation by comparison to a manually segmented ground truth shows best results for the novel suppressionbased approach.
Visual Exploration of Cultural Heritage Collections with Linked Spatiotemporal, Shape and Metadata Views
(The Eurographics Association, 2020) Lengauer, Stefan; Komar, Alexander; Karl, Stephan; Trinkl, Elisabeth; Preiner, Reinhold; Schreck, Tobias; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
The analysis of Cultural Heritage (CH) artefacts is an important task in the Digital Humanities. Increasingly, rich CH artefact data comprising metadata of different modalities becomes available in digital libraries and research data repositories. How- ever, the large amounts and heterogeneity of artefacts in these repositories compromise their accessibility for common domain analysis tasks, as domain researchers lack a structural overview of the spatial, temporal, and categorical traits of the artefacts in these collections. Still, researchers need to compare artefacts along different modalities, put them into context, and deal with possible uncertainties, subjectivities, or missing data. To date, many works support domain research via interactive visuali- sation. The majority relies primarily on visualisation of text and metadata including spatiotemporal, image and shape data. However, fewer consider these types of data in a tightly coupled way. We present an approach for tightly integrated multimodal visual exploration of large CH data collections along space, time and shape traits. Based on requirements obtained in collab- oration with domain researchers, we introduce a set of interlinked views for exploration of said modalities. An appropriately defined approach automatically computes most significant correlations across different modalities, guiding the user towards de- tecting interesting artefact relationships. We apply our approach to pertinent archaeological data collections, and demonstrate that characteristic explorative tasks are effectively supported and domain-relevant artefact relations can be discovered.
Visualization Framework for Assisting Interface Optimization of Hybrid Component Design
(The Eurographics Association, 2020) Kretzschmar, Vanessa; Gillmann, Christina; Günther, Fabian; Stommel, Markus; Scheuermann, Gerik; Krüger, Jens and Niessner, Matthias and Stückler, Jörg
Reliable component design is one of structural mechanics' main objectives. Especially for lightweight constructions, hybrid parts made of a multi-material combination are used. The design process for these parts often becomes very challenging. The critical section of such hybrid parts is usually the interface layer that often builds the weakest zone. In this paper, we study a hybrid part made of metal and carbon fiber-reinforced composite, where the metal insert is coated by a thermoplastic to decrease the jump in stiffness between the two primary structural materials. To prevent stress peaks in small volumes of the part , mechanical engineers aim to design functional elements at the thermoplastic interface, to homogenize the stress distribution. The placement of such load transmitting functional elements at the thermoplastics interface has a crucial impact on the overall stability and mechanical performance of the design. Resulting from this, mechanical engineers acquire large amounts of simulations outputting multi-field datasets, to examine the impact of differently designed load transmitting elements, their number, and positioning in the interface between metal and composite. In order to assist mechanical engineers in deeper exploration of the often numerous set of simulations, a framework based on visual analytics techniques was developed in close collaboration with engineers. To match their needs, a requirement analysis was performed, and visualizations were discussed steadily. We show how the presented framework helps engineers gaining novel insights to optimize the hybrid component based on the selected load transmitting elements.

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Browsing VMV2020 by Subject "Human centered computing"

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