VMV2020

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

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Browsing VMV2020 by Subject "Scientific visualization"

Now showing 1 - 3 of 3
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    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.
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    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.
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    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.