Liste der Fachpublikationen

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Madapur Devraj, Sudeep Dev; Kraus, Dieter (Betreuer); Siegmund, Dirk (Betreuer)

Separation of Subjects in High-Security Locks by Using Capacitive Sensing

2017

Bremen, Hochschule, Master Thesis, 2017

A reliable distinction between one and more than one person in the automated access control is of great importance. When access to high-security area e.g. bank or in border control, here personal interlock is used. These systems ensure without human influence, that only a single individual can pass through a particular transit area (Mantrap Portal). Existing technical approaches use thermal imaging (Body Heat), RGB-D Images, Camera image based and computer vision algorithm to verify if there are one or more persons in the transit area. Other known systems use weight or photo sensor based methods for verification. In this Master's Thesis, we will investigate using capacitive sensors for this application. The most suitable capacitive sensing technique, as well as the number of sensors and their position, will be examined in this work. The performance of the developed system will be measured empirical testing and includes test scenarios in which an attacker tries to spoof the system. The system performance using capacitive sensors will be measured. Receiver operating characteristics (ROC) or Detection Error Tradeoff (DET) curves will show how the developed system performs compared with other solution. The work will conclude with a feasibility analysis of the capacitive sensor technique in a possible practical usage.

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Merz, Johannes; Kuijper, Arjan (Betreuer); Getto, Roman (Betreuer)

Simplified Definition of Parameter Spaces of a GML Model Using Sketch-based Interaction

2017

Darmstadt, TU, Master Thesis, 2017

This Master Thesis presents a novel technique to intuitively insert meta-parameters into a procedural GML model with the help of sketch-based interaction. A GML model consist of a sequence of procedural modeling commands, for example extrusions. These are called with a set of local offset values, which can be converted to global space and anchored in the surface mesh of the model. As the global positions do not necessarily lie on the mesh surface, this is done by finding reference vertices. The system uses a mesh deformation technique to deform the evaluated surface of the model and creates a progression of intermediate target meshes. During the deformation, the reference vertices provide the global offset positions, whose path can be approximated by a B-spline. By exchanging the initial values of the commands by this B-spline, a continuous parameter space of the meta-parameter is defined. The deformation process is supported by a mesh segmentation to create pre-defined deformation targets for the user. Using intuitive sketch-based methods, these can be easily adapted to the users needs. The results show that the system closely imitates the mesh deformation with the help of the modeling commands. Furthermore, the system was evaluated to be intuitive and easy to use.

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Single Image Marine Snow Removal based on a Supervised Median Filtering Scheme

2017

Imai, Francisco (Ed.) et al.: VISAPP 2017. Proceedings : 12th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2017 Volume 4). SciTePress, 2017, pp. 280-287

International Conference on Computer Vision Theory and Applications (VISAPP) <12, 2017, Porto, Portugal>

Underwater image processing has attracted a lot of attention due to the special difficulties at capturing clean and high quality images in this medium. Blur, haze, low contrast and color cast are the main degradations. In an underwater image noise is mostly considered as an additive noise (e.g. sensor noise), although the visibility of underwater scenes is distorted by another source, termed marine snow. This signal disturbs image processing methods such as enhancement and segmentation. Therefore removing marine snow can improve image visibility while helping advanced image processing approaches such as background subtraction to yield better results. In this article, we propose a simple but effective filter to eliminate these particles from single underwater images. It consists of different steps which adapt the filter to fit the characteristics of marine snow the best. Our experimental results show the success of our algorithm at outperforming the existing approaches by effectively removing this phenomenon and preserving the edges as much as possible.

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Adams, Oliver; Bockholt, Ulrich; Hildebrand, Axel; Jonescheit, Leiv; Krzikalla, Roland; Olbrich, Manuel; Pankratz, Frieder; Pfützner, Sebastian; Roth, Matthias; Scheer, Fabian; Schwerdtfeger, Björn; Staack, Ingo; Wasenmüller, Oliver

Soll/Ist-Vergleich

2017

Schreiber, Werner (Ed.) et al.: Web-basierte Anwendungen Virtueller Techniken: Das ARVIDA-Projekt - Dienste-basierte Software-Architektur und Anwendungsszenarien für die Industrie. Berlin: Springer Vieweg, 2017, pp. 263-307

Das Ziel des Anwendungsszenarios ist eine präzise Digitalisierung und die Erforschung effizienter Verfahren zur Integration dieser Umgebungsdaten in Mixed Reality Anwendungen. Einsatzgebiete für die Erfassung großer Messvolumina liegen im Bereich der Fabrik-, Produktions- und Montageplanung, bei denen ein realistisches digitales Abbild der vorhandenen Arbeitsumgebung eine wichtige zusätzliche Informationsquelle darstellt. Für kleine Messvolumina liegen die Einsatzbereiche in der Produktabsicherung entlang des gesamten Produktlebenszyklus. Das Anwendungsszenario "Soll/Ist-Vergleich" zeigt das Potential der Referenzarchitektur, weil hier zahlreiche existierende Technologien und ARVIDA-Entwicklungsergebnisse unterschiedlicher Partner über die Referenzarchitektur integriert wurden. Das Teilprojekt betrachtet zum einen die Umfelderkennung und Umfelderfassung in kleinen und großen Messvolumina, zum anderen wurden projektionsbasierte AR-Lösungen realisiert, durch die Verfahren für den Soll/Ist-Abgleich realisiert werden konnten.

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Siegmund, Dirk; Hörr, Oliver; Chiesa, Laura; Gabler, Frank; Braun, Andreas; Kuijper, Arjan

Talis - A Design Study for a Wearable Device to Assist People with Depression

2017

Reisman, Sorel (Ed.) et al.: 2017 IEEE 41st Annual Computer Software and Applications Conference Workshops : COMPSACW. Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2017, pp. 543-548

IEEE International COMPSAC Workshop on User Centered Design and Adaptive Systems (UCDAS) <4, 2017, Torino, Italy>

One of the major diseases affecting the global population, depression has a strong emotional impact on its sufferers. In this design study, "Talis" is presented as a wearable device which uses emotion recognition as an interface between patient and machine to support psychotherapeutic treatment. We combine two therapy methods, "Cognitive Behavioral Therapy" and "Well- Being Therapy", with interactive methods thought to increase their practical application potential. In this study, we draw on the results obtained in the area of "affective computing" for the use of emotions in empathic devices. The positive and negative phases experienced by the patient are identified through speech recognition and used for direct communication and later evaluation. After considering the design possibilities and suitable hardware, the future realization of such technology appears feasible. In order to design the wearable, user studies and technical experiments were carried out. The results of these suggest that the device could be beneficial for the treatment of patients with depression.

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Ternary Sparse Matrix Representation for Volumetric Mesh Subdivision and Processing on GPUs

2017

Computer Graphics Forum, Vol.36 (2017), 5, pp. 59-69

Eurographics Symposium on Geometry Processing (SGP) <15, 2017, London, UK>

In this paper, we present a novel volumetric mesh representation suited for parallel computing on modern GPU architectures. The data structure is based on a compact, ternary sparse matrix storage of boundary operators. Boundary operators correspond to the first-order top-down relations of k-faces to their (k-1)-face facets. The compact, ternary matrix storage format is based on compressed sparse row matrices with signed indices and allows for efficient parallel computation of indirect and bottomup relations. This representation is then used in the implementation of several parallel volumetric mesh algorithms including Laplacian smoothing and volumetric Catmull-Clark subdivision. We compare these algorithms with their counterparts based on OpenVolumeMesh and achieve speedups from 3x to 531x, for sufficiently large meshes, while reducing memory consumption by up to 36%.

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Ulmer, Alex; Kohlhammer, Jörn; Shulman, Haya

Towards Enhancing the Visual Analysis of Interdomain Routing

2017

Linsen, Lars (Ed.) et al.: IVAPP 2017. Proceedings : 8th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2017 Volume 3). SciTePress, 2017, pp. 209-216

International Conference on Information Visualization Theory and Applications (IVAPP) <8, 2017, Porto, Portugal>

Interdomain routing with Border Gateway Protocol (BGP) plays a critical role in the Internet, determining paths that packets must traverse from a source to a destination. Due to its importance BGP also has a long history of prefix hijack attacks, whereby attackers cause the traffic to take incorrect routes, enabling traffic hijack, monitoring and modification by the attackers. Proposals for securing the protocol are adopted slowly or erroneous. Our goal is to create a novel visual analytics approach that facilitates easy and timely detection of misconfigurations and vulnerabilities both in BGP and in the secure proposals for BGP. This work initiates the analysis of the problem, the target users and state of the art approaches. We provide a comprehensive overview of the BGP threats and describe incidents that happened over the past years. The paper introduces two new user groups beside the network administrators, which should also be addressed in future approaches. It also contributes a survey about visual analysis of interdomain routing with BGP and secure proposals for BGP. The visualization approaches are rated and we derive seven key challenges that arise when following our roadmap for an enhanced visual analysis of interdomain routing.

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Damer, Naser; Rhaibani, Chadi Izzou; Braun, Andreas; Kuijper, Arjan

Trust the Biometric Mainstream: Multi-biometric Fusion and Score Coherence

2017

European Association for Speech, Signal and Image Processing (EURASIP): 2017 Proceedings of the 25th European Signal Processing Conference (EUSIPCO), pp. 2191-2195

European Signal Processing Conference (EUSIPCO) <25, 2017, Kos, Greece>

Multi-biometrics aims at building more accurate unified biometric decisions based on the information provided by multiple biometric sources. Information fusion is used to optimize the process of creating this unified decision. In previous works dealing with score-level multi-biometric fusion, the scores of different biometric sources belonging to the comparison of interest are used to create the fused score. This is usually achieved by assigning static weights for the different biometric sources with more advanced solutions considering supplementary dynamic information like sample quality and neighbours distance ratio. This work proposes embedding score coherence information in the fusion process. This is based on our assumption that a minority of biometric sources, which points out towards a different decision than the majority, might have faulty conclusions and should be given relatively smaller role in the final decision. The evaluation was performed on the BioSecure multimodal biometric database with different levels of simulated noise. The proposed solution incorporates, and was compared to, three baseline static weighting approaches. The enhanced performance induced by including the coherence information within a dynamic weighting scheme in comparison to the baseline solution was shown by the reduction of the equal error rate by 45% to 85% over the different test scenarios and proved to maintain high performance when dealing with noisy data.

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Bernard, Jürgen; Zeppelzauer, Matthias; Sedlmair, Michael; Aigner, Wolfgang

A Unified Process for Visual-Interactive Labeling

2017

Sedlmaier, Michael (Ed.) et al.: EuroVA 2017 : EuroVis Workshop on Visual Analytics. Goslar: Eurographics Association, 2017, pp. 73-77

International EuroVis Workshop on Visual Analytics (EuroVA) <8, 2017, Barcelona, Spain>

Assigning labels to data instances is a prerequisite for many machine learning tasks. Similarly, labeling is applied in visualinteractive analysis approaches. However, the strategies for creating labels often differ in the two fields. In this paper, we study the process of labeling data instances with the user in the loop, from both the machine learning and visual-interactive perspective. Based on a review of differences and commonalities, we propose the 'Visual-Interactive Labeling' (VIAL) process, conflating the strengths of both. We describe the six major steps of the process and highlight their related challenges.

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Unifying Algebraic Solvers for Scaled Euclidean Registration from Point, Line and Plane Constraints

2017

Lai, Shang-Hong (Ed.) et al.: Computer Vision - ACCV 2016. Part V : 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers. Springer International Publishing, 2017. (Lecture Notes in Computer Science (LNCS) 10115), pp. 52-66

Asian Conference on Computer Vision (ACCV) <13, 2016, Taipei, Taiwan>

We investigate recent state-of-the-art algorithms for absolute pose problems (PnP and GPnP) and analyse their applicability to a more general type, namely the scaled Euclidean registration from pointto- point, point-to-line and point-to plane correspondences. Similar to previous formulations we first compress the original set of equations to a least squares error function that only depends on the non-linear rotation parameters and a small symmetric coefficient matrix of fixed size. Then, in a second step the rotation is solved with algorithms which are derived using methods from algebraic geometry such as the Gröbner basis method. In previous approaches the first compression step was usually tailored to a specific correspondence types and problem instances. Here, we propose a unified formulation based on a representation with orthogonal complements which allows to combine different types of constraints elegantly in one single framework. We show that with our unified formulation existing polynomial solvers can be interchangeably applied to problem instances other than those they were originally proposed for. It becomes possible to compare them on various registrations problems with respect to accuracy, numerical stability, and computational speed. Our compression procedure not only preserves linear complexity, it is even faster than previous formulations. For the second step we also derive an own algebraic equation solver, which can additionally handle the registration from 3D point-to-point correspondences, where other solvers surprisingly fail.

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Unsupervised 3D Object Retrieval with Parameter-Free Hierarchical Clustering

2017

Mao, Xiaoyang (Ed.) et al.: CGI 2017. Proceedings of the Computer Graphics International Conference. New York: ACM, 2017. (ACM International Conference Proceedings Series (ICPS) 1368), 6 p.

Computer Graphics International (CGI) <34, 2017, Yokohama, Japan>

In 3D object retrieval, additional knowledge like user input, classification information or database dependent configured parameters are rarely available in real scenarios. For example, meta data about 3D objects is seldom if the objects are not within a well-known evaluation database. We propose an algorithm which improves the performance of unsupervised 3D object retrieval without using any additional knowledge. For the computation of the distances in our system any descriptor can be chosen; we use the Panorama-descriptor. Our algorithm uses a precomputed parameter-free agglomerative hierarchical clustering and combines the information of the hierarchy of clusters with the individual distances to improve a single object query. Additionally, we propose an adaption algorithm for the cases that new objects are added frequently to the database. We evaluate our approach with 6 databases including a total of 13271 objects in 481 classes. We show that our algorithm improves the average precision in an unsupervised scenario without any parameter configuration.

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Wendland, Steve; Lukas, Uwe von

Unterwassertestfeld für maritime Robotik und Sensorik

2017

Hydrographische Nachrichten, (2017), 106, pp. 40-42

In der Ostsee vor der Hanse- und Hafenstadt Rostock soll für die Entwicklung neuer Technologien ein multifunktionales Unterwassertestfeld entstehen, auf dem neue Produkte und Verfahren meerestechnischer Komponenten bzw. komplexe Geräte und Systeme erprobt, kalibriert und demonstriert werden können. Konkrete Unterwasserstrukturen aus dem Alltag der Offshore-Industrie, wie Seekabel, Pipelines, Gründungsstrukturen, sollen in dem Testfeld eingebracht werden, um ein reales, möbliertes Areal von Offshore-Anwendungen zu schaffen. Ergänzend dazu soll im Rostocker Fischereihafen ein Innovationscampus als Landbasis mit umfassender Infrastruktur aufgebaut werden. Der geplante Innovationscampus ermöglicht zukünftig mit der Kombination aus Unterwassertestfeld und modernstem Gebäudekomplex den gesamten Prozess der Entwicklung und Erprobungen an einem Standort: von der Produktidee über die Laborprüfung bis hin zur realen Anwendungserprobung auf See.

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Using Hand Gestures to Interact with an Industrial Robot in a Cooperative Flexible Manufacturing Scenario

2017

Proceedings of the 3rd International Conference on Mechatronics and Robotics Engineering : ICMRE 2017. New York: ACM, 2017. (ACM International Conference Proceedings Series (ICPS) 01414), pp. 11-16

International Conference on Mechatronics and Robotics (ICMRE) <3, 2017, Paris, France>

Gesture recognition is a booming field of interest for many researchers. The Human-Machine Interaction developed from using wired devices such as the mouse and the keyboard till using touch screens and nowadays is evolving to the gesture interaction. Simultaneously, the machine or the industrial robot in particular is developing as well. The usual trend of using an industrial robot in a typical factory is to isolate it from the workers during the operation, due to the safety regulations. However, nowadays a new generation of a safe cooperative industrial robot exists. These robots are no longer dangerous to work around the humans. In a flexible manufacturing system, a cooperative scenario between the worker and the industrial robot can achieve the flexible manufacturing objectives. Therefore, during this research we propose and implement a holonic control system architecture which connects the industrial robot with the worker together in the same work environment in a flexible cooperative scenario. Moreover, we use the worker hand gestures to generate control events associated with the worker activities. Accordingly, the interaction between the worker and the industrial robot can be established.

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Bär, Thomas; Bockholt, Ulrich; Hoffmann, Hilko; Jundt, Eduard; Roth, Matthias; Schreiber, Werner; Staack, Ingo; Zimmermann, Peter; Zürl, Konrad

Das Verbundprojekt ARVIDA

2017

Schreiber, Werner (Ed.) et al.: Web-basierte Anwendungen Virtueller Techniken: Das ARVIDA-Projekt - Dienste-basierte Software-Architektur und Anwendungsszenarien für die Industrie. Berlin: Springer Vieweg, 2017, pp. 1-16

Ziel des BMBF-geförderten Verbundprojektes ARVIDA war die anwendungs- und nutzerorientierte Forschung, Entwicklung und Evaluation von zukunftsorientierten Technologien im Kontext der Virtuellen Techniken in Verbindung mit neuen und modernen Ansätzen des Semantic Web, mit dessen Hilfe Virtuelle Techniken über Dienste verbunden werden können, um zukünftig ein großes Maß an Interoperabilität unter Berücksichtigung von Echtzeitanforderungen sicherzustellen.

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Virtuelle Realität in der Medizin

2017

Kramme, Rüdiger (Ed.): Medizintechnik : Verfahren - Systeme - Informationsverarbeitung. Berlin, Heidelberg, New York: Springer, 2017, pp. 845-854

Die Virtuelle Realität (Virtual Reality, VR) - computergenerierte, dreidimensionale Welten - erlebt heutzutage eine noch nie dagewesene Popularität. Was in den 1980er- und 1990er-Jahren Forschungsinstitutionen und Universitäten vorbehalten war, ist mittlerweile im Massenmarkt angekommen. Dies ist mit Sicherheit auf die rapide Entwicklung und Verfügbarkeit kostengünstiger Virtual Reality Headsets zurück zu führen. Oculus Rift trat vor wenigen Jahren einen Siegeszug an, es folgten SAMSUNGs Gear VR oder HTCs Re Vive, um einige VR-Projekte zu nennen. Nun ist die Virtuelle Realität omnipräsent. Zugegebenermaßen wird in diesem Zusammenhang die Virtuelle Realität momentan hauptsächlich mit dem Game-Genre in Verbindung gebracht, jedoch ist es ein Frage der Zeit, bis auch andere Anwendungsfelder - so auch die Medizin - mit preiswerten VR-Lösungen und Headsets ernsthaft bearbeitet werden. Virtuelle Realität hat jedoch schon vor vielen Jahren Einzug in der Medizin erhalten. Rasante Entwicklungen der letzten Jahre in der Gerätetechnologie sowie bei den (Graphik-) Prozessorarchitekturen (GPU) haben zu einer zunehmend technologiebasierten Medizin geführt. Speziell auf dem Gebiet der Chirurgie wurden neue Möglichkeiten und ein Mehrwert gesehen.

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Visual Access to Performance Indicators in the Mining Sector

2017

Kozlíková, Barbora (Ed.) et al.: Eurographics / IEEE VGTC Conference on Visualization (EuroVis) - Short Papers. Goslar: Eurographics Association, 2017, pp. 157-161

Eurographics / IEEE VGTC Conference on Visualization (EuroVis) <19, 2017, Barcelona, Spain>

We introduce a visualization system that provides visual interactive access to information relevant for decision making in the mining sector. The mining sector is one of the most important industries in developing countries, especially in Africa. Stakeholders like governments, investors, and the civil society play an important role in the growth of the mining sector. They are interested in information reviewing individual country performances towards mining. The Mining Investment and Governance Review (MInGov) dataset explicitly addresses this issue. However, the complex data structure introduces challenges for the intuitive and easy understanding of the information. Together with mining sector experts, we conducted a design study with the goal to provide visual interactive access to investment- and policy-related information. We report on a domain characterization of the MInGov dataset, its potential users, and their tasks. Based on this analysis, we design a visualization system that supports mining-related decision making. Finally, we evaluate the visualization system in a user workshop with domain experts.

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Visual Interactive Creation and Validation of Text Clustering Workflows to Explore Document Collections

2017

Wischgoll, Thomas (Ed.) et al.: Visualization and Data Analysis 2017. Springfield: IS&T, 2017. (Electronic Imaging), pp. 46-57

Visualization and Data Analysis (VDA) <2017, Burlingame, CA, USA>

The exploration of text document collections is a complex and cumbersome task. Clustering techniques can help to group documents based on their content for the generation of overviews. However, the underlying clustering workflows comprising preprocessing, feature selection, clustering algorithm selection and parameterization offer several degrees of freedom. Since no "best" clustering workflow exists, users have to evaluate clustering results based on the data and analysis tasks at hand. In our approach, we present an interactive system for the creation and validation of text clustering workflows with the goal to explore document collections. The system allows users to control every step of the text clustering workflow. First, users are supported in the feature selection process via feature selection metrics-based feature ranking and linguistic filtering (e.g., part-of-speech filtering). Second, users can choose between different clustering methods and their parameterizations. Third, the clustering results can be explored based on the cluster content (documents and relevant feature terms), and cluster quality measures. Fourth, the results of different clusterings can be compared, and frequent document subsets in clusters can be identified. We validate the usefulness of the system with a usage scenario describing how users can explore document collections in a visual and interactive way.

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Brodkorb, Felix; Kopp, Manuel; Kuijper, Arjan; Landesberger, Tatiana von

Visual Interactive Creation of Geo-located Networks

2017

Linsen, Lars (Ed.) et al.: IVAPP 2017. Proceedings : 8th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2017 Volume 3). SciTePress, 2017, pp. 283-293

International Conference on Information Visualization Theory and Applications (IVAPP) <8, 2017, Porto, Portugal>

Nodes in real world networks often have a geographic position. In many cases such as for simulation or optimization, there is a need for non-trivial synthetic geo-located networks. As synthetic datasets are required to have specific properties such as connectivity and geographic distribution, often networks need to be generated. However, their creation is cumbersome if done purely by hand, and inflexible if done fully automated. Here, we present a framework for creating artificial geographic located networks in a visually interactive way. We designed our framework with the what-you-see-is-what-you-get principle in mind, i.e. showing the (intermediate) results of the interactive creation process at any time and allowing the user to adjust the network iteratively. This design allows our system to be also used as a simple viewer for networks that have incomplete location information. Our approach consists of two steps: (1) Creating the network topology and (2) assigning locations to its nodes. Our half automatic system enables the user to easily set the location of the nodes to predefined areas like countries, states, and urban regions, while still being able to flexibly and interactively control the creation process. We show the utility of our system by creating a real-world-like geo-located network.

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Bernard, Jürgen; Dobermann, Eduard; Vögele, Anna; Krüger, Björn; Kohlhammer, Jörn; Fellner, Dieter W.

Visual-Interactive Semi-Supervised Labeling of Human Motion Capture Data

2017

Wischgoll, Thomas (Ed.) et al.: Visualization and Data Analysis 2017. Springfield: IS&T, 2017. (Electronic Imaging), pp. 34-45

Visualization and Data Analysis (VDA) <2017, Burlingame, CA, USA>

The characterization and abstraction of large multivariate time series data often poses challenges with respect to effectiveness or efficiency. Using the example of human motion capture data challenges exist in creating compact solutions that still reflect semantics and kinematics in a meaningful way. We present a visual-interactive approach for the semi-supervised labeling of human motion capture data. Users are enabled to assign labels to the data which can subsequently be used to represent the multivariate time series as sequences of motion classes. The approach combines multiple views supporting the user in the visual-interactive labeling process. Visual guidance concepts further ease the labeling process by propagating the results of supportive algorithmic models. The abstraction of motion capture data to sequences of event intervals allows overview and detail-on-demand visualizations even for large and heterogeneous data collections. The guided selection of candidate data for the extension and improvement of the labeling closes the feedback loop of the semi-supervised workflow. We demonstrate the effectiveness and the efficiency of the approach in two usage scenarios, taking visual-interactive learning and human motion synthesis as examples.

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Bernard, Jürgen; Ritter, Christian; Sessler, David; Zeppelzauer, Matthias; Kohlhammer, Jörn; Fellner, Dieter W.

Visual-Interactive Similarity Search for Complex Objects by Example of Soccer Player Analysis

2017

Linsen, Lars (Ed.) et al.: IVAPP 2017. Proceedings : 8th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2017 Volume 3). SciTePress, 2017, pp. 75-87

International Conference on Information Visualization Theory and Applications (IVAPP) <8, 2017, Porto, Portugal>

The definition of similarity is a key prerequisite when analyzing complex data types in data mining, information retrieval, or machine learning. However, the meaningful definition is often hampered by the complexity of data objects and particularly by different notions of subjective similarity latent in targeted user groups. Taking the example of soccer players, we present a visual-interactive system that learns users' mental models of similarity. In a visual-interactive interface, users are able to label pairs of soccer players with respect to their subjective notion of similarity. Our proposed similarity model automatically learns the respective concept of similarity using an active learning strategy. A visual-interactive retrieval technique is provided to validate the model and to execute downstream retrieval tasks for soccer player analysis. The applicability of the approach is demonstrated in different evaluation strategies, including usage scenarions and cross-validation tests.

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Visualisierung einer komplexen Offshore-Konverterplattform in interaktiven Frameraten

2017

Lukas, Uwe von (Ed.) et al.: Go-3D 2017: Mit 3D Richtung Maritim 4.0 : Tagungsband zur Konferenz Go-3D 2017. Stuttgart: Fraunhofer Verlag, 2017, pp. 123-133

Go-3D <8, 2017, Rostock, Germany>

Die Visualisierung von 3D-CAD Daten in der maritimen Industrie ist sinnvoll, um die Prozesse in den späten Phasen des Produktlebenszyklus, wie z. B. Training oder Nachrüstung, zu unterstützen. Eine wesentliche Herausforderung ist die Visualisierung sehr großer Datensätze in interaktiven Frameraten. In diesem Artikel werden laufende Arbeiten des Fraunhofer IGD im Rahmen des Projekts OWS - Offshore Wind Solutions1 vorgestellt, welche das Ziel haben, eine komplexe Offshore-Konverterplattform so zu visualisieren, dass interaktive Schulungen am virtuellen Produkt realisiert werden können. Es wird gezeigt, wie dieses Ziel durch effektive Reduktion der Renderinglast mittels Culling, Level of Detail und Renderingbudgetierung über die Zeit erreicht werden kann.

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Reynolds, Steven Lamarr; Kuijper, Arjan (Betreuer); May, Thorsten (Betreuer)

Visualisierung von zeitlichen, thematischen Änderungen in einem Dokumentenkorpus

2017

Darmstadt, TU, Bachelor Thesis, 2017

Mehrere Dokumente in einem Korpus können mit Themen beschrieben werden. Diese Themen bestehen aus Termen die sich aus den Wörtern der Dokumente bilden. Das Thema der vorliegenden Bachelorarbeit beschäftigt sich mit der Visualisierung der Entwicklung dieser Themen über einen Zeitstrahl. Über mehrere Zeitabschnitte hinweg werden Themen aus Dokumenten generiert. In einer Visualisierung wird die Entwicklung der Themen über diese Zeitabschnitte dargestellt. Dazu wird die Ähnlichkeit zwischen Themen berrechnet und angezeigt. Die Themen werden sortiert um die Visualisierung möglichst visuell und ansprechend darzustellen. Damit können Entwicklungen der Themen betrachtet werden. Das System erlaubt ein späteres austauschen des verwendeten Topic Modeling Verfahrens und ein schnellen Import von Dokumentenkorpera. Die Visualisierung ist unabhängig von dem Topic Modeling Verfahren. Zusätzlich wird mittels Interaktionstechniken eine Visual Analytics Anwendung umgesetzt.

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Bockholt, Ulrich; Brauns, Sarah; Fluck, Oliver; Harth, Andreas; Keitler, Peter; Koriath, Dirk; Lengowski, Stefan; Olbrich, Manuel; Staack, Ingo; Rautenberg, Ulrich; Widor, Volker

Werkerassistenz

2017

Schreiber, Werner (Ed.) et al.: Web-basierte Anwendungen Virtueller Techniken: Das ARVIDA-Projekt - Dienste-basierte Software-Architektur und Anwendungsszenarien für die Industrie. Berlin: Springer Vieweg, 2017, pp. 309-377

Es werden Szenarien beschrieben, die sich mit Aufgabenstellungen der Mitarbeiterführung und der Mitarbeiter-Assistenz in der Industrie befassen. Im Anwendungsszenario "MR-Engineering" wurden Systemlösungen erforscht, mit denen Planer, Arbeitsvorbereiter und In-Betrieb-Nehmer mit Hilfe von virtuellen Techniken und individuellen Software- Lösungen in Zukunft unterstützt werden können. Im Szenario "3D-Bauplanung" wird die automatische Verknüpfung von Generalplan und Daten zur Auftragsabwicklung dargestellt. Ziel ist es, die Arbeit des Planers mit effizienteren und anschaulicheren Folgen von Arbeitsschritten zu vereinfachen. In den weiteren Szenarien "3D-Bauanleitung", "Intelligentes Schema" und "Fertigen ohne Zeichnung" wird die Planung von Rohrleitungen und die Ableitung von Bauanleitungen unterstützt. Hier werden Daten zusammengeführt und über Augmented Reality visualisiert. Im Unterkapitel "Mobile Projektionsbasierte Assistenzsysteme" werden in vier Anwendungsszenarien Systeme entwickelt und beschrieben, die den Mitarbeiter bei der Bewältigung verschiedener Arbeitsaufgaben durch Augmented Reality mobil unterstützen. Diese AR Komponenten sind im Wesentlichen Projektionssysteme, die durch optisches Tracking mobilisiert werden. Der Schwerpunkt liegt hier in der Integration von Tracking-Systemen und Datendiensten durch die ARVIDA-Referenzarchitektur. Der Forschungsschwerpunkt im Anwendungsszenario "Instandhaltung und Training" war das schnelle und einfache Trainieren von komplexen wiederkehrenden Arbeitsabläufen. Durch vielfältige und variantenreiche Produkte ist die klassische Erstellung von Trainingsszenarien nicht mehr zu bewältigen. In drei aufeinander aufbauenden Phasen entstand in diesem Teilprojekt eine Trainingsapplikation, mit der es einem Trainer möglich ist, eigenständig und schnell Trainingsmodule ohne Programmier- oder VR-Kenntnisse zu erstellen. Im Training werden dem Trainee die Informationen als sowohl statische wie auch kongruente Überlagerungen mittels Datenbrille direkt im Sichtfeld angezeigt.

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Designstudie und Entwicklung von Konzepten zur visuellen Trendanalyse für mobile Umgebungen

2017

Darmstadt, TU, Master Thesis, 2017

Die immer schneller wachsenden Datenmengen in nahezu allen Bereichen des Lebens führen zu dem verstärkten Bestreben, die darin enthaltenen Informationen zu gewinnen und nützlich einzusetzen. Die menschlichen Kapazitäten im Hinblick auf die kognitive Verarbeitung von Informationen sind jedoch begrenzt. Daher werden Techniken und Methoden entwickelt, um den Menschen bei dieser Aufgabe zu unterstützen. Eine Ausprägung der Informationssuche in Datenmengen ist die analytische Untersuchung der Daten. Dazu gehört unter anderem das Erkennen von Trends und Mustern. Visual Analytics hat das Ziel, den Menschen durch eine Kombination aus Informationsvisualisierungen und automatisierten Analyseverfahren bei diesem Prozess zu unterstützen. Die meiste Forschung auf diesem Gebiet bezieht sich bislang überwiegend auf Computer und Laptops. Durch die rasante Verbreitung von mobilen Geräten in den letzten Jahren entstand die Notwendigkeit, die Methoden und Techniken auch im Hinblick auf den Einsatz auf mobilen Geräten zu untersuchen. Die mobile Umgebung bringt neue Herausforderungen, aber auch Möglichkeiten, mit sich. Am Fraunhofer IGD in Darmstadt wurde eine Software zur visuellen Trendanalyse auf Basis von digitalen Publikationsdatenbanken entwickelt. Ziel ist es, durch die Visualisierung der darin zur Verfügung stehenden Informationen, aufkommende und verschwindende Trends zu erkennen. Diese Software ist allerdings für die Benutzung auf einem Desktop-Computer ausgelegt. Im Rahmen dieser Arbeit wurde daher eine Designstudie durchgeführt, um die Designmöglichkeiten zur Umsetzung der Software auf mobilen Geräten zu untersuchen. Dazu wurde ein Modell der Zielgruppe (Entscheidungsträger) erstellt, welches aus drei Eigenschaften besteht. Eine dieser Eigenschaften besteht aus zwei Merkmalen - Bauchgefühl und Verstand - welche als gegensätzliche Aspekte identifiziert wurden, deren Vorteile jedoch jeweils stark vom Kontext abhängen. Gerade bei mobilen Umgebungen hat der sich stets verändernde Kontext einen starken Einfluss auf die Benutzererfahrung. Adaptive Mechanismen mit Bezug auf die mentale Verfassung des Benutzers (z.B. geteilte Aufmerksamkeit) können große Vorteile im Hinblick auf die positive Nutzererfahrung mit sich bringen. Im Rahmen dieser Designstudie wurden drei Designs entwickelt und untersucht, die jeweils das Bauchgefühl, den Verstand oder eine Kombination aus beiden in den Fokus stellen. Die Konzepte wurden prototypisch implementiert und im Rahmen eines kleinen kontrollierten Experiments evaluiert.

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Reinhard, Johann; Kuijper, Arjan (Betreuer); Brunton, Alan (Betreuer)

Discrete Medial Axis Transform and Applications for 3D Printing

2017

Darmstadt, TU, Bachelor Thesis, 2017

3D printing is becoming a more commonly used manufacturing process, both for industrial and consumer use, with ever increasing capabilities and areas of application. These opportunities also introduce higher expectations on the quality of the resulting prints, generally in terms of the resulting shape and appearance of the object, but also rigidness and structural integrity. Detecting characteristics in a model that are a source of errors opens up possible approaches to mitigate or eliminate these errors before printing it. One such characteristic are thin structures that can lead to missing or deformed shapes, changes in the appearance of full color prints or fragile structures that break during post-processing steps. The aim of this work is to detect thin structures using the discrete medial axis, representing the centers of a shape. In order to compute the discrete medial axis a discrete medial axis transform based on image processing techniques is implemented in the Cuttlefish 3D printer driver. The result for different models are assessed and possible correlations of the medial axis and thin structures evaluated. Possible applications of the medial axis or filtered medial axis are proposed and discussed.