Liste der Fachpublikationen

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Lindig, Tom; Urban, Bodo (Betreuer); Müller, Andreas (Betreuer); Diener, Holger (Betreuer)

Informationsvisualisierung im Gesundheitswesen

2017

Rostock, Univ., Bachelor Thesis, 2017

Krankenhausinformationssysteme setzen sich heutzutage meist aus Modulen verschiedener Hersteller zusammen. Gleichzeitig steigen die Anforderungen an Qualität und Optimierung des Krankenhausaufenthaltes. Auf Basis der Engine Unity3D wird eine Visualisierungssoftware entwickelt, die Informationen aus verschiedenen Teilbereichen des Krankenhausinformationssystems zusammenführt und einheitlich darstellt. Mithilfe eines 3D-Modells des Krankenhauses wird ein Ortsbezug zu den Daten hergestellt.

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Integrating Interactive Design and Simulation for Mass Customized 3D-Printed Objects - A Cup Holder Example

2017

University of Texas at Austin: Solid Freeform Fabrication 2017: Proceedings of the 28th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference. Austin, Tex.: University of Texas, 2017, pp. 2289-2301

Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference <28, 2017, Austin, USA>

We present an approach for integrating interactive design and simulation for customizing parameterized 3D models. Instead of manipulating the mesh directly, a simplified interface for casual users allows for adapting intuitive parameters, such as handle diameter or height of our example object - a cup holder. The transition between modeling and simulation is performed with a volumetric subdivision representation, allowing direct adaption of the simulation mesh without re-meshing. Our GPU-based FEM solver calculates deformation and stresses for the current parameter configuration within seconds with a pre-defined load case. If the physical constraints are met, our system allows the user to 3D print the object. Otherwise, it provides guidance which parameters to change to optimize stability while adding as little material as possible based on a finite differences optimization approach. The speed of our GPU-solver and the fluent transition between design and simulation renders the system interactive, requiring no pre-computation.

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Riffnaller-Schiefer, Andreas; Augsdörfer, Ursula H.; Fellner, Dieter W.

Interactive Physics-Based Deformation for Virtual Worlds

2017

European Association for Computer Graphics (Eurographics): 2017 International Conference on Cyberworlds : CW 2017. Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2017, pp. 88-95

International Conference on Cyberworlds (CW) <2017, Chester, UK>

When creating immersive interactive virtual worlds, it is important to not only provide plausible visuals, but also to allow the user to interact with the virtual scene in a natural way. While rigid-body physics simulations are widely used to provide basic interaction, realistic soft-body deformations of virtual objects are challenging and therefore typically not offered. We present a client-server architecture for interactive physicsbased deformation, which makes it possible to add physically accurate response to interaction to any virtual environment. The architecture is highly flexible, can be used from any web enabled client, and facilitates synchronization of computed deformations across multiple users and devices.

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Patzwahl, Alex; Kuijper, Arjan (Betreuer); Brodkorb, Felix (Betreuer)

Interaktives Erzeugen von dynamischen geographischen Netzwerken

2017

Darmstadt, TU, Bachelor Thesis, 2017

Graphen finden in den unterschiedlichsten Gebieten Anwendung. Neben vielen anderen Eigenschaften besitzen diese auch oft einen geographischen Kontext. Beispielsweise Computernetzwerke, bei denen die einzelnen Computer über geographische Standorte verfügen. Diese Besonderheit ist keinesfalls unwichtig, da sie zusätzliche Informationen bergen kann. Ebenfalls ist es sehr wahrscheinlich, dass sich diese Netzwerke auch über die Zeit entwickeln. Zur genaueren Analyse der Netzwerke werden folglich einige Daten benötigt, welche aber nur in geringen Mengen frei zur Verfügung stehen. Genauso werden auch größere, vielfältigere Datenmengen zu Test- oder Simulationszwecken gebraucht, die kaum zu finden sind. Deswegen bedarf es an dieser Stelle an Wegen zur künstlichen Generierung dieser Daten. In dieser Arbeit wird ein interaktiv, visuelles Generatormodel zur Erzeugung von dynamisch geographischen Netzwerken präsentiert. Dabei wird der Benutzer beim Steuern des Generierungsprozesses durch einen Wizard geführt, um die Bedienung zu erleichtern. Der eigentliche Algorithmus hinter dem Generator arbeitet zum Teil auf Power-Law Basis sowie auf weiteren, in dieser Arbeit präsentierten analytischen Ergebnissen.

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International Conference on Knowledge Technologies and Data-driven Business 2017 (i-KNOW 2017) - Workshop Proceedings

2017

International Conference on Knowledge Technologies and Data-Driven Business <2017, Graz, Austria>

CEUR Workshop Proceedings 2025

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Invisible Human Sensing in Smart Living Environments Using Capacitive Sensors

2017

Wichert, Reiner (Ed.) et al.: Ambient Assisted Living : 9. AAL-Kongress 2016 Frankfurt/M. Springer International Publishing, 2017. (Advanced Technologies and Societal Change), pp. 43-53

Ambient Assisted Living (AAL) <9, 2016, Frankfurt, Germany>

Smart living environments aim at supporting their inhabitants in daily tasks by detecting their needs and dynamically reacting accordingly. This generally requires several sensor devices, whose acquired data is combined to assess the current situation. Capturing the full range of situations necessitates many sensors. Often cameras and motion detectors are used, which are rather large and difficult to hide in the environment. Capacitive sensors measure changes in the electric field and can be operated through any non-conductive material. They gained popularity in research in the last few years, with some systems becoming available on the market. In this work we will introduce how those sensors can be used to sense humans in smart living environments, providing applications in situation recognition and human-computer interaction. We will discuss opportunities and challenges of capacitive sensing and give an outlook on future scenarios.

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Fellner, Dieter W.; Baier, Konrad; Ackeren, Janine van; Alexandrin, Max; Barth, Anna; Bockholt, Ulrich; Kopold, Franziska; Löwer, Chris; May, Thorsten; Peters, Wiebke; Wehner, Detlef; Gollnast, Anja; Bumke, Carina

Jahresbericht 2016: Fraunhofer-Institut für Graphische Datenverarbeitung IGD

2017

Das Fraunhofer IGD hat seine Forschungsaktivitäten vor Kurzem in vier Leitthemen gebündelt, welche die Basis seiner Arbeit bilden und verschiedene Themen abteilungsübergreifend miteinander verknüpfen. Eines dieser Leitthemen ist "Visual Computing as a Service - Die Plattform für angewandtes Visual Computing". Die Basis dieser universellen Plattform für Visual-Computing Lösungen ist gelegt und wird kontinuierlich erweitert. Dieser technologische Ansatz bildet die Grundlage für die weiteren Leitthemen. In der "Individuellen Gesundheit - Digitale Lösungen für das Gesundheitswesen" werden die Daten betrachtet, die in der personalisierten Medizin anfallen - mithilfe der Visual-Computing-Technologien des Instituts. Im Leitthema "Intelligente Stadt - Innovativ, digital und nachhaltig" ist die Fragestellung, wie man den Lebenszyklus urbaner Prozesse unterstützen kann. Und im Leitthema "Digitalisierte Arbeit - Der Mensch in der Industrie 4.0" geht es erster Linie um die Unterstützung des Menschen in der durch die Digitalisierung veränderten Produktion.

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Marine Snow Detection and Removal: Underwater Image Restoration using Background Modeling

2017

Bourke, Paul (Ed.) et al.: WSCG 2017. Full Papers Proceedings : 25. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. [cited 04 April 2018] Available from http://wscg.zcu.cz/DL/wscg DL.htm: University of West Bohemia, 2017. (Computer Science Research Notes (CSRN) 2701), pp. 81-89

International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG) <25, 2017, Plzen, Czech Republic>

It is a common problem that images captured underwater (UW) are corrupted by noise. This is due to the light absorption and scattering by the marine environment; therefore, the visibility distance is limited up to few meters. Despite blur, haze, low contrast, non-uniform lightening and color cast which occasionally are termed noise, additive noises, such as sensor noise, are the center of attention of denoising algorithms. However, visibility of UW scenes is distorted by another source termed marine snow. This signal not only distorts the scene visibility by its presence but also disturbs the performance of advanced image processing algorithms such as segmentation, classification or detection. In this article, we propose a new method that removes marine snow from successive frames of videos recorded UW. This method utilizes the characteristics of such a phenomenon and detects it in each frame. In the meanwhile, using a background modeling algorithm, a reference image is obtained. Employing this image as a training data, we learn some prior information of the scene and finally, using these priors together with an inpainting algorithm, marine snow is eliminated by restoring the scene behind the particles.

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Bockholt, Ulrich; Bochtler, Thomas; Enderlein, Volker; Olbrich, Manuel; Otto, Michael; Prieur, Michael; Sauerbier, Richard; Stechow, Roland; Wehe, Andreas; Wirsching, Hans-Joachim

Motion Capturing

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. 219-262

Motion Capture Technologien werden in vielen unterschiedlichen Bereichen eingesetzt, wie zum Beispiel der Filmindustrie, der Sportrehabilitation, der Spieleentwicklung oder im industriellen Umfeld. Die Technologie ermöglicht es, Bewegungen aufzuzeichnen und diese auf eine digitale Repräsentanz (Avatar) eines Menschen (Digital Human Model) zu applizieren. Über ein generisches Menschmodell bzw. mit Hilfe der im Projekt ARVIDA entwickelten Referenzarchitektur ist eine universelle Anwendung möglich und verschiedene Expertensysteme lassen sich derart nutzen, dass ein ganzheitlicher Prozess durchgeführt werden kann. Für Ergonomie-Untersuchungen im Nutzfahrzeug können allgemein gültige digitale Bewegungsbausteine entwickelt werden, die sich nachträglich an neue, ähnliche Szenarien anpassen lassen. In der Produktionsabsicherung wird bereits in den frühen Phasen ein höherer Reifegrad ermöglicht, indem Motion Capturing für die Echtzeitsimulation von manuellen Arbeitsvorgängen in virtuellen Umgebungen eingesetzt wird.

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Wen, Zhuoman; Kuijper, Arjan; Fraissinet-Tachet, Matthieu; Wang, Yanjie; Luo, Jun

Mutual Information-Based Tracking for Multiple Cameras and Multiple Planes

2017

Arabian Journal for Science and Engineering, Vol.42 (2017), 8, pp. 3451-3463

Based onmutual information (MI), this paper proposes a systematic analysis of tracking a multi-plane object with multiple cameras. Firstly, a geometric model consisting of a piecewise planar object and multiple cameras is setup. Given an initial pose guess, the method seeks a pose update that maximizes the global MI of all the pairs of reference image and camera image. An object pose-dependent warp is proposed to ensure computation precision. Six variations of the proposed method are designed and tested. Mode 1, i.e., computing the 2nd-order Hessian of MI at each step as the object pose changes, leads to the highest convergence rates; Mode 2, i.e., computing the 1st-order Hessian of MI once at the beginning, occupies the least time (0.5-1.0 s). For objects with simple-textured planes, applying Gaussian blur first and then useMode 1 shall generate the highest convergence rate.

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Neighbor Distance Ratios and Dynamic Weighting in Multi-biometric Fusion

2017

Alexandre, Luís A. (Ed.) et al.: Pattern Recognition and Image Analysis : IbPRIA 2017. Springer International Publishing, 2017. (Lecture Notes in Computer Science (LNCS) 10255), pp. 491-500

Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) <8, 2017, Faro, Portugal>

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 multibiometric 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. In contrast, we focus on integrating the information imbedded in the relative relation between the comparison scores (within a 1:N comparison) in the biometric fusion process using a dynamic weighting scheme. This is performed by considering the neighbors distance ratio in the ranked comparisons to influence the dynamic weights of the fused scores. The evaluation was performed on the Biometric Scores Set BSSR1 database. The enhanced performance induced by including the neighbors distance ratio information within a dynamic weighting scheme in comparison to the baseline solution was shown by an average reduction of the equal error rate by more than 40% over the different test scenarios.

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Großpersky, Steffen; Wiesmaier, Alexander (Betreuer); Stiemerling, Martin (Betreuer); Daun, Stefan (Betreuer)

Neukonzeption und Implementierung eines Drupal-Moduls für Publikationslisten

2017

Darmstadt, Hochschule, Bachelor Thesis, 2017

Die Veröffentlichung wissenschaftlicher Publikationen ist ein wesentliches Kennzeichen von Forschung. Nur wenn neu gewonnene Erkenntnisse dokumentiert und mit anderen geteilt werden, entsteht Wissen. Auch die Mitarbeiter des Fraunhofer-Instituts für Graphische Datenverarbeitung IGD veröffentlichen ihre Forschungsergebnisse jedes Jahr in zahlreichen wissenschaftlichen Publikationen. Bisher wurden die Publikationen auf der mit dem Content Management System Drupal realisierten Website des Instituts in verschiedenen Formen dargestellt. So wurden unter anderem auch auf den Webseiten der Mitarbeiter, deren jeweilige Veröffentlichungen für das Institut aufgelistet. Durch eine Umstellung der Website auf ein neues Design und eine neue Struktur, sowie durch eine kommende Umstellung des Bibliothekssystems, konnte die bisherige Lösung nicht mehr verwendet werden. Ziel dieser Bachelorarbeit ist deshalb die Neukonzeption und Implementierung einer Softwareerweiterung für Drupal, um die Publikationen der Mitarbeiter wieder auf der Website anzeigen zu können. Dabei sollen auch Verbesserungen in der Leistungsfähigkeit und der Kompatibilität mit unterschiedlichen Bibliothekssystemen erreicht werden. Für die Erstellung eines Konzepts wird zunächst eine Analyse bestehender Lösungen durchgeführt. Auf Basis der Analyse wird ein Konzept erstellt und dieses teilweise implementiert. Die implementierte Lösung wird im Anschluss mit der zuvor genutzten Lösung verglichen. In dieser Evaluation zeigt sich, dass die neu konzeptionierte Lösung deutlich leistungsfähiger und flexibler als die alte Lösung ist. Allerdings ist auch mit der neuen Lösung keine vollautomatische Zuordnung von Autorennamen zu Personen möglich, da zum einen unterschiedliche Schreibweisen für einen Namen verwendet werden, und zum anderen, weil sich der Name einer Person z.B. durch Heirat ändern kann.

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New Approach for Optimizing the Usage of Situation Recognition Algorithms Within IoT Domains

2017

Braun, Andreas (Ed.) et al.: Ambient Intelligence : 13th European Conference, AmI 2017. Springer, 2017. (Lecture Notes in Computer Science (LNCS) 10217), pp. 183-196

European Conference on Ambient Intelligence (AmI) <13, 2017, Malaga, Spain>

The growth of the Internet of Things (IoT) over the past few years enabled a lot of application domains. Due to the increasing number of IoT connected devices, the amount of generated data is increasing too. Processing huge amounts of data is complex due to the continuously running situation recognition algorithms. To overcome these problems, this paper proposes an approach for optimizing the usage of situation recognition algorithms in Internet of Things domains. The key idea of our approach is to select important data, based on situation recognition purposes, and to execute the situation recognition algorithms after all relevant data have been collected. The main advantage of our approach is that situation recognition algorithms will not be executed each time new data is received, thus allowing the reduction of the situation recognition algorithms execution frequency and saving computational resources.

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New Approaches for Localization and Activity Sensing in Smart Environments

2017

Wichert, Reiner (Ed.) et al.: Ambient Assisted Living : 9. AAL-Kongress 2016 Frankfurt/M. Springer International Publishing, 2017. (Advanced Technologies and Societal Change), pp. 73-84

Ambient Assisted Living (AAL) <9, 2016, Frankfurt, Germany>

Smart environments need to be able to fulfill the wishes of its occupants unobtrusively. To achieve this goal, it has to be guaranteed that the current state environment is perceived at all times. One of the most important aspects is to find the current position of the in- habitants and to perceive how they move in this environment. Numerous technologies enable such supervision. Particularly challenging are marker-free systems that are also privacy-preserving. In this paper, we present two such systems for localizing inhabitants in a Smart Environment using - electrical potential sensing and ultrasonic Doppler sensing. We present methods that infer location and track the user, based on the acquired sensor data. Finally, we discuss the advantages and challenges of these sensing technologies and provide an overview of future research directions.

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Dimitrov, Dimitar Tomov; Kuijper, Arjan (Betreuer)

Non-Local Bayes Denoising of Digital Images on GPU using OpenCL

2017

Darmstadt, TU, Master Thesis, 2017

Image sensors or lens inevitably produce a wide range of degradations in digital images. Among these degradations are various types of noise. Image noise is undesirable, random information added to the image that can cause significant quality degradation. Therefore, image denoising methods are very often the first step of an image processing chain. Non-Local Bayes (NL-Bayes) is a state of the art image denoising algorithm that provides effective noise reduction with good preservation of image details. Although efficient CPU implementations of this method exist, they still have performance issues. Nowadays, GPUs become a general-purpose computational devices and provide their power for more generalized tasks. Their massively parallel capabilities can significantly improve the performance of computationally expensive programs. However, due to the specific execution and memory model, algorithms for GPUs require special design that divides the computational task into as many independent pieces as possible. This thesis proposes solutions to perform NL-Bayes image denoising on the GPU using the OpenCL standard. Our study evaluates quantitatively and qualitatively the proposed implementations by making comparisons with an existing CPU implementation. We show that a GPU-based solution is six times faster compared to the CPU-based solution when maximal denoising quality is demanded. Additionally, we describe general problems in the parallelization of such a complex image denoising algorithm.

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Ma, Jingting; Wang, Anqi; Lin, Feng; Wesarg, Stefan; Erdt, Marius

Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA

2017

Descoteaux, Maxime (Ed.) et al.: Medical Image Computing and Computer Assisted Intervention - MICCAI 2017: Part I : 20th International Conference. Springer International Publishing, 2017. (Lecture Notes in Computer Science (LNCS) 10433), pp.136-143

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <20, 2017, Québec City, QC, Canada>

Statistical shape models (SSMs) are widely employed in medical image segmentation. However, an inferior SSM will degenerate the quality of segmentations. It is challenging to derive an efficient model because: (1) often the training datasets are corrupted by noise and/or artifacts; (2) conventional SSM is not capable to capture nonlinear variabilities of a population of shape. Addressing these challenges, this work aims to create SSMs that are not only robust to abnormal training data but also satisfied with nonlinear distribution. As Robust PCA is an efficient tool to seek a clean low-rank linear subspace, a novel kernelized Robust PCA (KRPCA) is proposed to cope with nonlinear distribution for statistical shape modeling. In evaluation, the built nonlinear model is used in ankle bone segmentation where 9 bones are separately distributed. Evaluation results show that the model built with KRPCA has a significantly higher quality than other state-of-the-art methods.

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Nutzung von Stereo-Hochkontrast-Aufnahmen für eine bodengestützte, automatische Bestimmung von Schüttgutmaterialien und für die Erkennung der Belegung von Außenlagerflächen in Häfen

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. 157-166

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

In diesem Artikel wird ein Stereokameraaufbau vorgeschlagen, welcher es ermöglicht, über weite Distanzen einen Schüttguthaufen freizustellen und seine Art (Sand, Kies, Roheisen) zu bestimmen. Durch Aufnahme von Belichtungsreihen werden Hochkontrastbilder gewonnen. Somit ist das System für Außenaufnahmen bei jedem Wetter geeignet. Der vorgestellte Ansatz arbeitet in fünf Schritten: Aufnahme von Stereo- Hochkontrastbildern, Bildvorverarbeitung, Semi-global Blockmatching, Segmentierung/Rücktransformation und Materialerkennung. Es wird in diesem Artikel gezeigt, dass dieses Verfahren robust gegenüber Wetterbedingungen ist, eine zuverlässige Segmentierung auf Basis der Tiefeninformationen erreicht und die korrekte Materialbestimmung ermöglicht.

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Opportunities for Biometric Technologies in Smart Environments

2017

Braun, Andreas (Ed.) et al.: Ambient Intelligence : 13th European Conference, AmI 2017. Springer, 2017. (Lecture Notes in Computer Science (LNCS) 10217), pp. 175-182

European Conference on Ambient Intelligence (AmI) <13, 2017, Malaga, Spain>

Smart environments describe spaces that are equipped with sensors, computing facilities and output systems that aim at providing their inhabitants with targeted services and supporting them in their tasks. Increasingly these are faced with challenges in differentiating multiple users and secure authentication. This paper outlines how biometric technologies can be applied in smart environments to overcome these challenges. We give an introduction to these domains and show various applications that can benefit from the combination of biometrics and smart environments.

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Sadik, Ahmed R.; Taramov, Andrei; Urban, Bodo

Optimization of Tasks Scheduling in Cooperative Robotics Manufacturing via Johnson's Algorithm: Case-Study: One Collaborative Robot in Cooperation with Two Workers

2017

IEEE Computer Society: 2017 IEEE Conference on Systems, Process and Control (ICSPC 2017) : Proceedings. IEEE Computer Society, 2017, pp. 36-41

IEEE Conference on Systems, Process and Control (ICSPC) <2017, Melaka, Malaysia>

The rapid development of information technology in the last half century led to the emergence of a new industrial revolution, often called Industry 4.0, the key element of which is the introduction of informatization in all spheres of human life and the widespread use of cyberphysical systems. The main attribute of such systems is the interaction of human and smart machines, this approach allows achieving the greatest flexibility and productivity simultaneously. The latest example of such systems is the collaborative manufacturing system, where the human worker cooperates in a close distance with a collaborative robot (cobot) in a production scenario. This cooperation is applicable when the final product requires a high degree of customization that a worker can provide, while cooperation with the cobot is greatly speeding up the productivity. In this context, one of the actual problems is to schedule the cooperative tasks in real time among the operational resources (i.e., the workers and cobots). This problem can be reduced to a special case of the flow-shop scheduling problem. The complexity of this problem increases with increasing the number of cooperative operational resources and the production steps. Undoubtedly, modern production often involves several processing steps serviced by several operational resources. Therefore, it is necessary to study a complex cooperative manufacturing scenario. The simplest and most understandable case scenario is the interaction of two workers and one cobot in two stages production workcell. Thus, in this paper we will consider the implementation of this casestudy using the available scheduling algorithms.

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Ritter, Christian; Kuijper, Arjan (Betreuer); Bernard, Jürgen (Betreuer)

Personalized Music Classification and Feature Creation based on Visual-Interactive Learning

2017

Darmstadt, TU, Bachelor Thesis, 2017

I present an approach for personalized music classification and feature generation. Currently existing approaches cover general models that match the common taste of music and use (small) sets of pre-defined features. Allowing a user to interactively build a music classification model is a complex task. In this work, I introduce a two-level approach that utilizes Visual Analytics to solve that task. At high-level granularity, a user can interactively classify music in a visual interface. The system supports the user with multiple views that grant model insights and information about the feature space. Furthermore, the user can freely define classes and assign them to songs of his collection. At low-level granularity, a user is able to create features matching his task by defining important audio patterns. A similarity over the song is calculated from each pattern and then used to create features that depend on the preferences of the user. The approach I contribute allows classification of music (or, in general, multivariate time series) for various tasks with features created at run-time. Thus, it makes classification interactive and applicable to multiple tasks. Several evaluation techniques showed the usefulness of the approach in different scenarios and the effectiveness of personalized features.

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Edelsbrunner, Johannes; Havemann, Sven; Sourin, Alexei; Fellner, Dieter W.

Procedural Modeling of Architecture with Round Geometry

2017

Computers & Graphics, Vol.64 (2017), pp. 14-25

International Conference on Cyberworlds (CW) <2016, Chongqing, China>

Creation of procedural 3D building models can significantly reduce the costs of modeling, since it allows for generating a variety of similar shapes from one procedural description. The common field of appli- cation for procedural modeling is modeling of straight building facades, which are very well suited for shape grammars-a special kind of procedural modeling system. In order to generate round building geometry, we present a way to set up different coordinate systems in shape grammars. Besides Cartesian, these are primarily cylindrical and spherical coordinate systems for generation of structures such as towers or domes, that can procedurally adapt to different dimensions and parameters. The users can apply common splitting idioms from shape grammars in their familiar way for creating round instead of straight geometry. The second enhancement we propose is to provide a way for users to give high level inputs that are used to automatically arrange and adapt parts of the models.

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Papaefthymiou, M.; Nikolakopoulou, V.; Leventis, G.; Domajnko, Matevz; Ioannides, M.; Papagiannakis, G.; Santos, Pedro

Projecting our Past to the Future - Challenges and Results: The Case of Asinou Church

2017

Fellner, Dieter W. (General Co-Chair / Proceedings Production Ed.) et al.: GCH 2017 : Eurographics Workshop on Graphics and Cultural Heritage. Goslar: Eurographics Association, 2017, pp. 171-175

Eurographics Workshop on Graphics and Cultural Heritage (GCH) <15, 2017, Graz, Austria>

In this paper, we present some of the novel results of the Marie Curie Initial Training Network for Digital Cultural Heritage (ITN-DCH) project, describing briefly the work done focusing on the project's first case study: the Panagia Phorviotisa of Asinou, an UNESCO World Heritage Listed (WHL) monument in Cyprus. The paper introduces some challenges and the importance of multidisciplinary, sustainable research and development in the emerging domain of DCH in Europe. The different methodologies address these challenges through a professional network of partners including Academia, Research and Industry. The paper describes the 3D documentation of the church and how the data acquired can be used and re-used in Mixed Reality (MR) applications using also Deep Learning techniques, as well as in Education.

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Reinert, David; Humm, Bernhard (Betreuer); Rapp, Stefan (Betreuer); Jung, Florian (Betreuer)

Quantitative Analyse von Krebstumor-Bildmerkmalen aus CT-Aufnahmen des Kopf-Nacken-Bereichs

2017

Darmstadt, Hochschule, Bachelor Thesis, 2017

Korrekte Prognosen und Diagnosen im Bezug auf Krebserkrankungen stellen Ärzte auch heute noch vor eine große Herausforderung. Keine phänotypische Ausprägung eines Krebstumors gleicht einer anderen. Auch unterscheidet sich der Krankheitsverlauf bei jedem Patienten signifkant. Deshalb ist es notwendig die Behandlung für jeden Patienten zu individualisieren. Ziel dieser Arbeit war es, mit Hilfe von Radiomics zu untersuchen, ob Korrelationen zwischen Krebstumor-Bildmerkmalen und patientenspezifschen Informationen bestehen. Hierfür wurden Segmentierung und Feature-Extraktion durch eine implementierte Extraktions-Software für 38 CT-Bild-Datensätze des menschlichen Kopf-Nacken-Bereichs durchgeführt, um diese anschließend mit den zur Verfügung gestellten Meta-Daten des Patienten auf lineare Korrelation zu untersuchen. Wir konnten bei 17,54% der von uns extrahierten Radiomics eine starke Korrelation feststellen. 22,33% der Merkmale korrelierten mittelstark. Außerdem bestätigt die von uns verwendete Methodik bereits in der Medizin bekannte Korrelationen. Obwohl eine kleine Datenmenge untersucht wurde, sind die ersten Ergebnisse vielversprechend, müssen jedoch durch weitere Untersuchungen validiert werden.

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Knuth, Martin; Fellner, Dieter W. (Betreuer); Bender, Jan (Betreuer)

Realistic Visualization of Accessories within Interactive Simulation Systems for Garment Prototyping

2017

Darmstadt, TU, Diss., 2017

In virtual garment prototyping, designers create a garment design by using Computer Aided Design (CAD). In difference to traditional CAD the word "aided" in this case refers to the computer replicating real world behavior of garments. This allows the designer to interact naturally with his design. The designer has a wide range of expressions within his work. This is done by defining details on a garment which are not limited to the type of cloth used. The way how cloth patterns are sewn together and the style and usage of details of the cloth's surface, like appliqués, have a strong impact on the visual appearance of a garment to a large degree. Therefore, virtual and real garments usually have a lot of such surface details. Interactive virtual garment prototyping itself is an interdisciplinary field. Several problems have to be solved to create an efficiently usable real-time virtual prototyping system for garment manufacturers. Such a system can be roughly separated into three sub-components. The first component deals with acquisition of material and other data needed to let a simulation mimic plausible real world behavior of the garment. The second component is the garment simulation process itself. Finally, the third component is centered on the visualization of the simulation results. Therefore, the overall process spans several scientific areas which have to take into account the needs of each other in order to get an overall interactive system. In my work I especially target the third section, which deals with the visualization. On the scientific side, the developments in the last years have shown great improvements on both speed and reliability of simulation and rendering approaches suitable for the virtual prototyping of garments. However, with the currently existing approaches there are still many problems to be solved, especially if interactive simulation and visualization need to work together and many object and surface details come into play. This is the case when using a virtual prototyping in a productive environment. The currently available approaches try to handle most of the surface details as part of the simulation. This generates a lot of data early in the pipeline which needs to be transferred and processed, requiring a lot of processing time and easily stalls the pipeline defined by the simulation and visualization system. Additionally, real world garment examples are already complicated in their cloth arrangement alone. This requires additional computational power. Therefore, the interactive garment simulation tends to lose its capability to allow interactive handling of the garment. In my work I present a solution, which solves this problem by moving the handling of design details from the simulation stage entirely to a completely GPU based rendering stage. This way, the behavior of the garment and its visual appearance are separated. Therefore, the simulation part can fully concentrate on simulating the fabric behavior, while the visualization handles the placing of surface details lighting, materials and self-shadowing. Thus, a much higher degree of surface complexity can be achieved within an interactive virtual prototyping system as can be done with the current existing approaches.

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Rixels: Towards Secure Interactive 3D Graphics in Engineering Clouds

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. 25-43

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

Cloud computing rekindles old and imposes new challenges on remote visualization especially for interactive 3D graphics applications, e.g., in engineering and/or in entertainment. In this paper we present and discuss an approach entitled 'rich pixels' (short 'rixels') that balances the requirements concerning security and interactivity with the possibilities of hardware accelerated post-processing and rendering, both on the server side as well as on the client side using WebGL.