Refine
Year of publication
Document Type
- Bachelor Thesis (100)
- Diploma Thesis (81)
- Study Thesis (76)
- Master's Thesis (46)
- Doctoral Thesis (18)
- Part of Periodical (12)
- Conference Proceedings (3)
Language
- German (282)
- English (52)
- Multiple languages (2)
Keywords
- Bildverarbeitung (16)
- Augmented Reality (13)
- Robotik (10)
- Computergrafik (9)
- Computergraphik (9)
- Computervisualistik (9)
- OpenGL (8)
- GPGPU (5)
- GPU (5)
- Line Space (5)
Institute
- Institut für Computervisualistik (336) (remove)
Virtueller Dirigent
(2016)
Ihm Rahmen einer Bachelorarbeit wurde eine "Virtual Reality"-Anwendung entwickelt. Ein Benuzter erhält die Möglichkeit die Rolle eines Dirigenten zu übernehmen und ein virtuelles Orchester zu leiten. Die Leitung erfolgt mit Hilfe von Handgesten. Mithilfe einer Evaluation der Anwendung wurden allgemeine Anforderungen an "Virtual Reality"-Spiele festgehalten.
The automatic detection of position and orientation of subsea cables and pipelines in camera images enables underwater vehicles to make autonomous inspections. Plants like algae growing on top and nearby cables and pipelines however complicate their visual detection: the determination of the position via border detection followed by line extraction often fails. Probabilistic approaches are here superior to deterministic approaches. Through modeling probabilities it is possible to make assumptions on the state of the system even if the number of extracted features is small. This work introduces a new tracking system for cable/pipeline following in image sequences which is based on particle filters. Extensive experiments on realistic underwater videos show robustness and performance of this approach and demonstrate advantages over previous works.
Es wird ein Augmented-Reality Ansatz zur Erforschung modularer OSGi-Softwaresysteme präsentiert. Der Prototyp wird unter der Verwendung der Microsoft HoloLens implementiert. Module, wie Komponenten und Packages, werden in einer virtuellen Stadt dargestellt. Dieser Ansatz ermöglicht es dem Anwender, die Software-Architektur mittels intuitiver Navigation zu erkunden: Spracheingabe, Blickpunkt- und Gestenkontrolle. Eine multifunktionale Benutzeroberfläche wird vorgestellt, die für verschiedene Zielgruppen adaptiert werden kann. Viele veröffentlichte Visualisierungen weisen keine klare Zielgruppendefinition auf. Das Konzept kann leicht auf andere Darstellungsformen, wie beispielsweise der Inselmetapher übertragen werden. Erste Ergebnisse einer Evaluierung, die mittels kleiner strukturierter Interviews gewonnen werden konnten, werden präsentiert. Die Probanden mussten vier Programm-verständnis Aufgaben lösen und ihren Aufwand, sowie ihre Arbeitsbelastung einschätzen. Die Ergebnisse bilden eine gute Grundlage für weitere Forschung im Bereich der Software- Visualisierung in Augmented Reality.
Artificial neural networks is a popular field of research in artificial intelli-
gence. The increasing size and complexity of huge models entail certain
problems. The lack of transparency of the inner workings of a neural net-
work makes it difficult to choose efficient architectures for different tasks.
It proves to be challenging to solve these problems, and with a lack of in-
sightful representations of neural networks, this state of affairs becomes
entrenched. With these difficulties in mind a novel 3D visualization tech-
nique is introduced. Attributes for trained neural networks are estimated
by utilizing established methods from the area of neural network optimiza-
tion. Batch normalization is used with fine-tuning and feature extraction to
estimate the importance of different parts of the neural network. A combi-
nation of the importance values with various methods like edge bundling,
ray tracing, 3D impostor and a special transparency technique results in a
3D model representing a neural network. The validity of the extracted im-
portance estimations is demonstrated and the potential of the developed
visualization is explored.
This work describes a novel software tool for visualizing anatomical segmentations of medical images. It was developed as part of a bachelor's thesis project, with a view to supporting research into automatic anatomical brain image segmentation. The tool builds on a widely-used visualization approach for 3D image volumes, where sections in orthogonal directions are rendered on screen as 2D images. It implements novel display modes that solve common problems with conventional viewer programs. In particular, it features a double-contour display mode to aid the user's spatial orientation in the image, as well as modes for comparing two competing segmentation labels pertaining to one and the same anatomical region. The tool was developed as an extension to an existing open-source software suite for medical image processing. The visualization modes are, however, suitable for implementation in the context of other viewer programs that follow a similar rendering approach.
The modified code can be found here: soundray.org/mm-segmentation-visualization.tar.gz.
live video performances at cultural events since 2005. Until now, we have been developing single video-performance applications that mostly met the demands of a certain project. What we did not achieve so far is a) a modular software design and, b) a feature for deskewing planar surfaces that are projected at a non perpendicular angle (assuming the use of visual projectors). This paper deals with solving the first problem by desiging a modular framework and the second problem by implementing an user-friendly module for deskewing planar surfaces. The deskewing process is completely manual, letting the user edit the coordinates of the surfaces" cornerpoints by dragging the points with the mouse. For this, the cornerpoints" x- and y-values are manipulated and the z-value is left constant. While in this way, the 3D-interaction with a 2D-interface can be avoided, the exclusivley two-dimensional transformation of planar surfaces introduces undesired texture-mapping artifacts produced by the triangulation-based rendering of graphic-cards. In order to avoid these artifacts, a selected method called "adaptive subdivision" is presented that corrects the introduced rendering errors.
This paper introduces Vocville, a causal online game for learning vocabularies. I am creating this application for my master thesis of my career as a "Computervisualist" (computer visions) for the University of Koblenz - Landau. The application is an online browser game based on the idea of the really successful Facebook game FarmVille. The application is seperated in two parts; a Grails application manages a database which holds the game objects like vocabulary, a Flex/Flash application generates the actual game by using these data. The user can create his own home with everything in it. For creating things, the user has to give the correct translation of the object he wants to create several times. After every query he has to wait a certain amount of time to be queried again. When the correct answer is given sufficient times, the object is builded. After building one object the user is allowed to build others. After building enough objects in one area (i.e. a room, a street etc.) the user can activate other areas by translating all the vocabularies of the previous area. Users can also interact with other users by adding them as neighbors and then visiting their homes or sending them gifts, for which they have to fill in the correct word in a given sentence.