Liste der Fachpublikationen

Show publication details

3D Mass Digitization: A Milestone for Archeological Documentation

2017

VAR. Virtual Archaeology Review [online], Vol.8 (2017), 16, pp. 1-11

In the heritage field the demand for fast and efficient 3D digitization technologies for historic remains is increasing. Besides, 3D digitization has proved to be a promising approach to enable precise reconstructions of objects. Yet, unlike the digital acquisition of cultural goods in 2D widely used today, 3D digitization often still requires a significant investment of time and money. To make it more widely available to heritage institutions, the Competence Center for Cultural Heritage Digitization at the Fraunhofer Institute for Computer Graphics Research IGD has developed CultLab3D, the world's first fully automatic 3D mass digitization facility for collections of three-dimensional objects. CultLab3D is specifically designed to automate the entire 3D digitization process thus allowing users to scan and archive objects on a large-scale. Moreover, scanning and lighting technologies are combined to capture the exact geometry, texture, and optical material properties of artefacts to produce highly accurate photo-realistic representations. The unique setup allows shortening the time needed for digitization to several minutes per artefact instead of hours, as required by conventional 3D scanning methods.

Show publication details
Getto, Roman; Merz, Johannes; Kuijper, Arjan; Fellner, Dieter W.

3D Meta Model Generation with Application in 3D Object Retrieval

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 the application of 3D object retrieval we search for 3D objects similar to a given query object. When a user searches for a certain class of objects like 'planes' the results can be unsatisfying: Many object variations are possible for a single class and not all of them are covered with one or a few example objects. We propose a meta model representation which corresponds to a procedural model with meta-parameters. Changing the meta-parameters leads to different variations of a 3D object. For the meta model generation a single object is constructed with a modeling tool. We automatically extract a procedural representation of the object. By inserting metaparameters we generate our meta model. The meta model defines a whole object class. The user can choose a meta model and search for all objects similar to any instance of the meta model to retrieve all objects of a certain class from a 3D object database. We show that the retrieval precision is signifcantly improved using the meta model as retrieval query.

Show publication details

3D-printed Electrodes for Electric Field Sensing Technologies

2017

Darmstadt, TU, Master Thesis, 2017

Electrical field sensing and capacitive sensing have been an intensively explored research topic for over a century. Combined with the rising popularity of rapid prototyping technologies, like affordable all- in-one micro-controller boards and especially fused filament fabrication 3D-printing, new possibilities occur. 3D-printing drives the ambitions of custom designed objects with fully integrated and unobtrusive electronics. Conductive 3D-printing materials (filaments) can be used to create electrodes for electrical field sensing. These electrodes can be 3D-printed as an integral part into the overall object. However, none of the previous work examines the properties of these conductive materials, the chosen 3D-printing configurations, and patters regarding their sensing performance and costs. This thesis provides a first insight into the interdependency between the chosen 3D- printing parameters and the overall sensing performance. For this, 30 3D-printed electrodes were created from graphene filament and evaluated against one copper electrode, and a placebo electrode. The evaluation was performed by a custom made measuring toolkit, the CapLiper, which was also evaluated for proper sensing behavior. The results show, that 3D-printed electrodes can compete with the sensing performance of copper electrodes, with some exceeding its performance. Using these results, as well as lessons learned in creating two different prototypes, the thesis establishes best practice and gives an outlook on potential future work in this domain.

Show publication details

Acceleration of 3D Mass Digitization Processes: Recent Advances and Challenges

2017

Ioannides, Marinos (Ed.) et al.: Mixed Reality and Gamification for Cultural Heritage. Springer International Publishing, 2017, pp. 99-128

In the heritage field, the demand for fast and efficient 3D digitization technologies for historic remains is increasing. Besides, 3D has proven to be a promising approach to enable precise reconstructions of cultural heritage objects. Even though 3D technologies and postprocessing tools are widespread and approaches to semantic enrichment and Storage of 3D models are just emerging, only few approaches enable mass capture and computation of 3D virtual models from zoological and archeological findings. To illustrate how future 3D mass digitization systems may look like, we introduce CultLab3D, a recent approach to 3D mass digitization, annotation, and archival storage by the Competence Center for Cultural Heritage Digitization at the Fraunhofer Institute for Computer Graphics Research IGD. CultLab3D can be regarded as one of the first feasible approaches worldwide to enable fast, efficient, and cost-effective 3D digitization. lt specifically designed to automate the entire process and thus allows to scan and archive large amounts of heritage objects for documentation and preservation in the best possible quality, taking advantage of integrated 30 visualization and annotation within regular Web browsers using technologies such as WebGI and X3D.

Show publication details

Accurate Physics-Based Registration for the Outcome Validation of Minimal Invasive Interventions and Open Liver Surgeries

2017

IEEE Transactions on Biomedical Engineering, Vol.64 (2017), 2, pp. 362-371

The purpose of this paper is to present an outcome validation tool for tumor radiofrequency (RF) ablation and resection. Methods: Intervention assessment tools require an accurate registration of both pre- and postoperative computed tomographies able to handle big deformations. Therefore, a physics-based method is proposed with that purpose. To increase the accuracy both automatically detected internal and surface physical landmarks are incorporated in the registration process. Results: The algorithm has been evaluated in 25 clinical datasets containing RF ablations, resections, and patients with recurrent tumors. The achieved accuracy is 1.2 mm measured as mean internal distance between vessel landmarks and a positive predictive value of 0.95. The quantitative and qualitative results of the outcome validation tool show that in 50% of the cases tumors were only partially covered by the treatment. Conclusion: The use of internal and surface landmarks combined with a physics-based registration method increases the accuracy of the results compared to the accuracy of state of the art methods. An accurate outcome validation tool is important in order to certify that the tumor and its safety margin were fully covered by the treatment. Significance: An accurate outcome validation tool can result in a decrease of the tumor recurrence rate.

Show publication details
Gangatharan, Dinesh Vaithyalingam; Kupnik, Mario (Betreuer); Fu, Biying (Betreuer)

Activity Recognition On Unmodified Consumer Smartphones Via Active Ultrasonic Sensing

2017

Darmstadt, TU, Master Thesis, 2017

Sensor miniaturisation and streaming classification techniques can be used to recognize human behaviours and contexts. This is extremely valuable to realize smart environments, e.g. to support healthy and independent living. The most important parameters to sense include indoor location, gestures, or emergencies like falls. Up to now, activity recognition systems face a number of sensitive drawbacks. For example, camera-based systems induce privacy issues and are costly to deploy. Body-worn systems are inconvenient to wear over long periods of time. Highly visible systems may introduce social stigma and modify the well-known living environment. In this project, we explore the possibility for the use of a new, unobtrusive, physical principle to sense and recognize human activities using off-the-shelf smart-phone. A person's smart-phone is a cornucopia of information. The huge variety of sensors in today's mobile phones makes these devices a prime target for human activity recognition. Our novel approach is to develop a novel activity recognizing system using an unmodified smart-phone. We profit from integrated microphones and loudspeakers without additional hardware components needed. The advantage of this system is therefore that it can be easily installed on a smart-phone and put into action. An android application has already been developed which is able to send a high frequency sound in the near ultrasound range, e.g. 20 kHz. Using the received echo from the microphone, the information caused by movement in midair around the device will be extracted. In this thesis we intend to improve the performance of the existing system with respect to noise cancellation and other classification schemes. In this thesis, we present an android application called Trainer for complex activity recognition. It is built on ultrasense [8], a mobile application that capitalizes the characters of ultrasound to inspect the surrounding environment. The application is able to send a high frequency signal in the near ultrasound range, e.g. 20 kHz. Using the received echo from the microphone, the information caused by movement in midair around the device will be extracted. Complex activities tagged under home exercises are evaluated using micro-Doppler signatures [mD-signatures]. We propose an algorithm to classify a set of exercises carried out by the user and show that using the Support vector machine classifier we are able to obtain an accuracy of 85% using Principal component analysis and a signature feature introduced in this thesis as a feature.

Show publication details
Braun, Andreas; Wichert, Reiner

Ambient Intelligence: 13th European Conference, AmI 2017

2017

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

Lecture Notes in Computer Science (LNCS) 10217

The AmI 2017 conference solicited contributions with the themes of: - Enabling Technologies, Methods and Platforms - Objectives and Approaches of Ambient Intelligence and Internet of Things - From Information Design to Interaction and Experience Design - Application Areas of AmI and IoT

Show publication details

Applying the PROSA Reference Architecture to Enable the Interaction between the Worker and the Industrial Robot: Case Study: One Worker Interaction with a Dual-Arm Industrial Robot

2017

Herik, Jaap van den (Ed.) et al.: ICAART 2017 Vol. 1 : Proceedings of the 9th International Conference on Agents and Artificial Intelligence. SciTePress, 2017, pp. 190-199

International Conference on Agents and Artificial Intelligence (ICAART) <9, 2017, Porto, Portugal>

Involving an industrial robot in a close physical interaction with the worker became quite possible, as a result of the availability of different collaborative industrial robots in the market. The physical cooperation between the industrial robot and the worker usually done under the umbrella of the flexible manufacturing paradigm, where both the industrial robot and the worker need to change their tasks fast and efficiently, to cope with the changes in the manufacturing process. This means that a reliable manufacturing control system must stand behind this physical interaction to achieve the proper communication interaction. A holonic control architecture is an ideal solution for this problem. Therefore, during this research we study the most commonly applied model of the holonic control architecture, then we apply this architecture on our case study, where one worker cooperates with a dual-arm industrial robot to build and produce any new product. Also the research uses the worker's hand gesture recognition as a method to interact with the industrial robot during the execution of a cooperative production scenario.

Show publication details

Approaches and Challenges in the Visual-interactive Comparison of Human Motion Data

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. 217-224

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

Many analysis goals involving human motion capture (MoCap) data require the comparison of motion patterns. Pioneer works in visual analytics recently recognized visual comparison as substantial for visual-interactive analysis. This work reflects the design space for visual-interactive systems facilitating the visual comparison of human MoCap data, and presents a taxonomy comprising three primary factors, following the general visual analytics process: algorithmic models, visualizations for motion comparison, and back propagation of user feedback. Based on a literature review, relevant visual comparison approaches are discussed. We outline remaining challenges and inspiring works on MoCap data, information visualization, and visual analytics.

Show publication details
Behr, Johannes; Blach, Roland; Bockholt, Ulrich; Harth, Andreas; Hoffmann, Hilko; Huber, Manuel; Käfer, Tobias; Keppmann, Felix Leif; Pankratz, Frieder; Rubinstein, Dmitri; Schubotz, René; Vogelgesang, Christian; Voss, Gerrit

ARVIDA-Referenzarchitektur: Ressourcen-orientierte Architekturen für die Anwendungsentwicklung Virtueller Techniken

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. 117-191

Die ARVIDA-Referenzarchitektur ist ein zentrales Element und Ergebnis des ARVIDA- Projektes. Sie ermöglicht es, mit etablierten Technologien und Konzepten aus dem Web-Umfeld heterogene VT-Systemlandschaften in integrierten, sehr weitgehend plattformunabhängigen VT-Anwendungen effizient zu nutzen. Die Referenzarchitektur nutzt und adaptiert das Prinzip der RESTful-Web-Services sowie die darauf aufbauenden Linked-Data Konzepte, um interoperable, leicht erweiterbare und modulare VTAnwendungen zu bauen. Die nachfolgenden Abschnitte beschreiben die Grundprinzipien und spezifischen Erweiterungen im Detail.