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The objective of the FIVIS project is to develop a bicycle simulator which is able to simulate real life bicycle ride situations as a virtual scenario within an immersive environment. A sample test bicycle is mounted on a motion platform to enable a close to reality simulation of turns and balance situations. The visual field of the bike rider is enveloped within a multi-screen visualisation environment which provides visual data relative to the motion and activity of the test bicycle. That means the bike rider has to pedal and steer the bicycle as a usual bicycle, while the motion is recorded and processed to control the simulation. Furthermore, the platform is fed with real forces and accelerations that have been logged by a mobile data acquisition system during real bicycle test drives. Thus, using a feedback system makes the movements of the platform match to the virtual environment and the reaction of the driver (e.g. steering angle, step rate).
Der Mutterpass wurde als wichtiges Vorsorgeinstrument für Schwangere Anfang der sechziger Jahre in Papierform eingeführt. Er wird bei 90% aller Schwangerschaften genutzt. Seit seiner Einführung im Jahre 1968 hat jedoch die Komplexität der Vorsorgeuntersuchungen zugenommen, wie auch die Begleitumstände einer Schwangerschaft häufig komplexer geworden sind. Dies war Anlass dafür, die elektronische Abbildung des Papier basierten Mutterpasses zu entwickeln, um den gewachsenen Anforderungen der medizinischen Dokumentation und Evaluation gerecht zu werden. Eine große Herausforderung bei der Konzeption und Entwicklung des elektronischen Mutterpasses war dabei die Definition eines strukturierten und maschinenlesbaren Austauschformates. Darüber hinaus mussten weltweit neue eindeutige Identifier entwickelt werden, um den Mutterpass elektronisch abzubilden. Nach der prototypischen Realisierung einer vollständigen Version wurde im Frühjahr 2008 die Pilotierung in der Metropolregion Rhein-Neckar begonnen.
"Visual Computing" (VC) fasst als hochgradig aktuelles Forschungsgebiet verschiedene Bereiche der Informatik zusammen, denen gemeinsam ist, dass sie sich mit der Erzeugung und Auswertung visueller Signale befassen. Im Fachbereich Informatik der FH Bonn-Rhein-Sieg nimmt dieser Aspekt eine zentrale Rolle in Lehre und Forschung innerhalb des Studienschwerpunktes Medieninformatik ein. Drei wesentliche Bereiche des VC werden besonders in diversen Lehreinheiten und verschiedenen Projekten vermittelt: Computergrafik, Bildverarbeitung und Hypermedia-Anwendungen. Die Aktivitäten in diesen drei Bereichen fließen zusammen im Kontext immersiver virtueller Visualisierungsumgebungen.
Usually, the first processing step in computer vision systems consists of a spatial convolution with only a few simple filters. Therefore, information is lost of it is not represented explicitly for the following processing steps. This paper proposes a new hierarchical filter scheme that can efficiently synthesize the responses for a large number of specific filters. The scheme is based on steerable filters. It also allows for an efficient on-line adjustment of the trade off between the speed and the accuracy of the filters. We apply this method to the detection of facial keypoints, especially the eye corners. These anatomically defined keypoints exhibit a large variability in their corresponding image structures so that a flexible low level feature extraction is required
GL-Wrapper for Stereoscopic Rendering of Standard Applications for a PC-based Immersive Environment
(2007)
We present a multi-user virtual reality (VR) setup that aims at providing novel training tools for paramedics that enhances current learning methods. The hardware setup consists of a two-user fullscale VR environment with head-mounted displays for two interactive trainees and one additional desktop pc for one trainer participant. The software provides a connected multi-user environment, showcasing a paramedic emergency simulation with focus on anaphylactic shock, a representative scenario for critical medical cases that happen too rare to eventually occur within a regular curricular term of vocational training. The prototype offers hands-on experience on multi-user VR in an applied scenario, generating discussion around current state and future development concerning three important research areas: (a) user navigation, (b) interaction, (c) level of visual abstraction, and (d) level of task abstraction.
In this work, we automatically distinguish the efficient high elbow pose from dropping one in pulling phase of front crawl stroke in front view amateurly recorded videos. This task is challenging due to the aquatic environment and missing depth information. We predict the pull’s efficiency through multiclass svm and random forest classifiers given arms key positions and angles as the feature set. We evaluate our approach over a labeled dataset of video frames taken from 25 members of masters’ swim club at Ryerson University with different levels of expertise and physiological characteristics. Our results show the effectiveness of our approach with random forest classifier, yielding 67% accuracy.
Sensitivity to many visual stimuli, and, in particular, image displacement, is reduced during a change in fixation (saccade) compared to when the eye is still. In these experiments, we studied the sensitivity of observers to ecologically relevant image translations of large, complex, real world scenes either during horizontal saccades or during fixation. In the first experiment, we found that such displacements were much less detectable during saccades than during fixation. Qualitatively, even when trans-saccadic scene changes were detectible, they were less salient and appeared slower than equivalent changes in the absence of a saccade. Two further experiments followed up on this observation and estimated the perceived magnitude of trans-saccadic apparent motion using a two-interval forced-choice procedure (Experiment 2) and a magnitude estimation procedure (Experiment 3). Both experiments suggest that trans-saccadic displacements were perceived as smaller than equivalent inter-saccadic displacements. We conclude that during saccades, the magnitude of the apparent motion signal is attenuated as well as its detectability.
A Low-Cost Based 6 DoF Head Tracker for Usability Application Studies in Virtual Environments
(2008)
Although extensive safety measures and safe working procedures have been applied to improve and secure metal working machines, they still put their operators at risk. These risks might often result from manipulation errors, in particular if safety measures are ignored. In this contribution, a safety evaluation strategy has been developed that applies VR and mixed reality technologies to investigate the usability of working machines. An automatically controlled machine tool was simulated and connected to a real input panel, usually employed in industrial settings. However, Human-Machine Interfaces are sometimes built in a way that does not prevent the operator from cognitive misinterpretations which in turn might result in mistakes. To take that into account, a control program for a lathe was altered by hiding a typical programming mistake in the lines of code. Subjects were given the task to evaluate the program in single step mode and to report abnormalities while running the simulated lathe, comparable to new control program checks at real machines. An evaluation of the study demonstrated that even experienced metal workers accepted the simulation and reacted as if the given task was real. Behavioural data of considered subjects showed comparable profiles and most subjects rated the VR- based approach as a reasonable means for investigating work safety problems.
This contribution presents an easy to implement 3D tracking approach that works with a single standard webcam. We describe the algorithm and show that it is well suited for being used as an intuitive interaction method in 3D video games. The algorithm can detect and distinguish multiple objects in real-time and obtain their orientation and position relative to the camera. The trackable objects are equipped with planar patterns of five visual markers. By tracking (stereo) glasses worn by the user and adjusting the in-game camera's viewing frustum accordingly, the well-known immersive "screen as a window" effect can be achieved, even without the use of any special tracking equipment.
In this contribution, we describe the activities and promotion programs installed at the Bonn-Rhein-Sieg University as an institution and at the Department of Computer Science respectively for increasing the total number of computer science students and in particular the female rate. We report about our experiences in addressing gender aspects in education and try to evaluate the outcome of our programs with respect to our equal rights for women strategy. We propose a closer look at mental self-theories enabled by E-portfolios to address also gender issues in Computer Science. Moreover, reasons are identified and discussed which may be responsible for the reduced interest in particular of female young adults to choose a computer science study program.
Im Arbeitsschutz spielt die Detektion von Fingern, Händen und Armen, insbesondere bei handbeschickten Maschinen, eine große Rolle. Gängige Schutzeinrichtungen, wie Lichtgitter, Laserscanner oder Ultraschallschutzeinrichtungen, können zwar generell Hindernisse im Gefahrenbereich von Maschinen erkennen, sind aber nicht in der Lage, zwischen Produktionsgut und Körperteilen zu unterscheiden. Die Deutsche Gesetzliche Unfallversicherung hat deshalb seit 2004 ein Forschungsvorhaben der Fachhochschule Bonn-Rhein-Sieg im Fachbereich Informatik gefördert, das zum Ziel hatte, Menschen und deren Finger und Hände durch ihre besondere Form und Farbe zu erkennen und von Produktionsgut zu unterscheiden. Als besonders kritischer Fall wurde dabei das Arbeiten an einer Tisch- und Formatkreissäge ausgewählt: Zum einen weil sich Hölzer nur schwer von Händen unterscheiden lassen, zum anderen weil an diesen Maschinen besonders viele schwere Unfällen passieren.
Field Programmable Gate Arrays (FPGA) are used in many fields of research, e.g. to create prototypes of hardware or in applications where hardware functionality has to be changed more frequently. Boolean circuits, which can be implemented by FPGAs are the compiled result of hardware description languages such as Verilog or VHDL. Odin II is a tool, which supports developers in the research of FPGA based applications and FPGA architecture exploration by providing a framework for compilation and verification. In combination with the tools ABC, T-VPACK and VPR, Odin II is part of a CAD flow, which compiles Verilog source code that targets specific hardware resources. This paper describes the development of a graphical user interface as part of Odin II. The goal is to visualize the results of these tools in order to explore the changing structure during the compilation and optimization processes, which can be helpful to research new FPGA architectures and improve the work flow.
The FIVIS simulator system addresses the classical visual and acoustical cues as well as vestibular and further physiological cues. Sensory feedback from skin, muscles, and joints are integrated within this virtual reality visualization environment. By doing this it allows for simulating otherwise dangerous traffic situations in a controlled laboratory environment. The system has been successfully applied for road safety education applications of school children. In further research studies it is applied to perform multimedia perception experiments. It has been shown, that visual cues dominate by far the perception of visual depth in the majority of applications but the quality of depth perception might depend on the availability of other sensory information. This however, needs to be investigated in more detail in the future.
Die Fachhochschulen haben sich als Hochschulen für angewandte Wissenschaften seit ihrer Gründung Anfang der 70er Jahre deutlich gewandelt. Das Fächerportfolio vieler Fachhochschulen ist inzwischen mit jenem der Universitäten vergleichbar. In einigen Fächern bilden die Fachhochschulen sogar den überwiegenden Anteil von Absolventen aus. Die anwendungsorientierte Spitzenforschung gehört zum Selbstverständnis vieler Fachhochschulen. Vor diesem Hintergrund ist es unverständlich und für die wirtschaftliche Zukunftsfähigkeit schädlich, dass Fachhochschulen immer noch deutliche Wettbewerbsnachteile in der Weiterqualifizierung des wissenschaftlichen Nachwuchses haben. Dies gilt umso mehr, wenn mit Fachhochschulen vergleichbaren privaten Hochschulen das Promotionsrecht zugestanden wird.
This paper presents the implementation and evaluation of a computer vision problem on a Field Programmable Gate Array (FPGA). This work is based upon previous work where the feasibility of application specific image processing algorithms on a FPGA platform have been evaluated by experimental approaches. This work coveres the development of a BLOB detection system on an Altera Development and Education II (DE2) board with a Cyclone II FPGA in Verilog. It detects binary spatially extended objects in image material and computes their center points. Bounding Box and Center-of-Mass have been applied for estimating center points of the BLOBs. The results are transmitted via a serial interface to the PC for validation of their ground truth and further processing. The evaluation compares precision and performance gains dependent on the applied computation methods.
Work on real-time hand-gesture recognition for SAVI (stereo active vision interface) is presented. Based on the detection of frontal faces, image regions near the face are searched for the existence of skin-tone blobs. Each blob is evaluated to determine if it is a hand held in a standard pose. A verification algorithm based on the responses of elongated oriented filters is used to decide whether a hand is present or not. Once a hand is detected, gestures are given by varying the number of fingers visible. The hand is segmented using an algorithm which detects connected skin-tone blobs in the region of interest, and a medial axis transform (skeletonization) is applied. Analysis of the resulting skeleton allows detection of the number of fingers visible, thus determining the gesture. The skeletonization is sensitive to strong shadows which may alter the detected morphology of the hand. Experimental results are given indicating good performance of the algorithm.
An approach to optimal watermark detection in the DCT domain, based on the probability density function (pdf) modeling, is presented. A new detector is proposed in order to produce reliable detection of weak watermarks for various distributions of DCT image coefficients. Efficacy of the proposed detector is proved on some common attacks, as well.
