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Mixed reality telepresence is becoming an increasingly popular form of interaction in social and collaborative applications. We are interested in how created virtual spaces can be archived, mapped, shared, and reused among different applications. Therefore, we propose a decentralized blockchain-based peer-to-peer model of distribution, with virtual spaces represented as blocks. We demonstrate the integration of our system in a collaborative mixed reality application and discuss the benefits and limitations of our approach.
Der fünfzehnte Workshop "Virtuelle und Erweiterte Realität" der Fachgruppe VR/AR der Gesellschaft für Informatik e.V. wurde an der Hochschule Düsseldorf vom 10.-11.10.2018 durchgeführt. Als etablierte Plattform für den Informations- und Ideenaustausch der deutschsprachigen VR/AR-Szene bot der Workshop den idealen Rahmen, aktuelle Ergebnisse und Vorhaben aus Forschung und Entwicklung – auch provokative Ideen – im Kreise eines fachkundigen Publikums zur Diskussion zu stellen. Insbesondere wurde auch jungen Nachwuchswissenschaftlern die Möglichkeit gegeben, ihre Arbeiten zu präsentieren; darunter fielen laufende Promotionsvorhaben oder auch herausragende studentische Arbeiten von Hochschulen und Forschungseinrichtungen. Das Programmkomitee hat 12 Lang- und 6 Kurzbeiträge aus über 29 Gesamteinreichungen ausgewählt. Die Beiträge decken das Spektrum der Virtuellen und Erweiterten Realität ab. Der Workshop fand am 10. Oktober gleichzeitig mit dem Innovationstag des Innovationshubs in Düsseldorf statt. Für einen Beitrag eigneten sich alle Themenfelder der "Virtuellen und Erweiterten Realität", insbesondere:
3D Eingabegeräte und Interaktionstechniken
Avatare und Agenten
Displaytechnologien und Tracking
(Echtzeit-)Rendering
Education und Edutainment
Entertainment und Experiences
Gesellschaft und soziotechnische Aspekte
Human Factors
Industrielle Einsatzszenarien
Innovative Anwendungen
Künstlerische Anwendungen
Modellierung und Simulation
Multimodale Interaktion
Systemarchitekturen und Intelligente Umgebungen
Verteilte und kooperative VR/AR-Umgebungen
Augmented reality for supporting manual non-destructive ultrasonic testing of metal pipes and plates
(2018)
We describe an application of augmented reality technology for non-destructive testing of products in the metal-industry. The prototype is created with hard- and software, that is usually employed in the gaming industry, and delivers positions for creating ultra- sonic material scans (C-scans). Using a stereo camera in combination with an hmd enables realtime visualisation of the probes path, as well as the setting of virtual markers on the specimen. As a part of the implementation the downhill simplex optimization algorithm is implemented to fit the specimen to a cloud of recorded surface points. The accuracy is statistically tested and evaluated with the result, that the tracking system is accurate up to ca. 1-2 millimeters in well set-up conditions. This paper is of interest not only for research institutes of the metal-industry, but also for any areas of work, in which the enhancement with augmented reality is possible and a precise tracking is necessary.
Live video streaming is becoming increasingly popular as a form of interaction in social applications. One of its main advantages is an ability to immediately create and connect a community of remote users on the spot. In this paper we discuss how this feature can be used for crowdsourced completion of simple visual search tasks (such as finding specific objects in libraries and stores, or navigating around live events) and social interactions through mobile mixed reality telepresence interfaces. We present a prototype application that allows users to create a mixed reality space with a photospherical imagery as a background and interact with other connected users through viewpoint, audio, and video sharing, as well as realtime annotations in mixed reality space. Believing in the novelty of our system, we conducted a short series of interviews with industry professionals on the possible applications of our system. We discuss proposed use-cases for user evaluation, as well as outline future extensions of our system.
Acquiring human motion data from video images plays an important role in the field of computer vision. Ground truth tracking systems require markers to create high quality motion data. But in many applications it is desired to work without markers. In recent years affordable hardware for markerless tracking systems was made available at a consumer level. Efficient depth camera systems based on Time-of-Flight sensors and structured light systems have made it possible to record motion data in real time. However, the gap between the quality of marker-based and markerless systems is high. The error sources of a markerless motion tracking pipeline are discussed and a model-based filter is proposed, which adapts depending on spatial location. The proposed method is then proven to be more robust and accurate than the unfiltered data stream and can be used to visually enhance the presence of an actor within a virtual environment in live broadcast productions.
This article describes the possibilities and problems that occur using the SteamVR tracking 2.0 system as a camera tracking system in a virtual studio and explains an approach for implementation and calibration within a professional studio environment. The tracking system allows for cost effective deployment. Relevant application fields are also mixed reality recording and streaming of AR and VR experiences.