004 Datenverarbeitung; Informatik
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Die volumetrische Erfassung von Aushüben auf Baustellen ist ein kostenrelevanter Faktor und wird auch heute im täglichen Baustellenbetrieb oft noch in manueller Detailarbeit durchgeführt. Kostengünstige Sensoren zur Tiefenerfassung ermöglichen die halbautomatische Erfassung von Baugruben. Augmented Reality (AR) kann für diesen Prozess das nötige Feedback liefern. Vorgestellt wird ein Prototyp, bestehend aus einem Tablet mit integrierter Kamera und einem Lidar-Scanner. Es wird die Erfassung des Volumens bezüglich Nutzbarkeit und Genauigkeit mit Einsatz von AR getestet und evaluiert. Zur Bestimmung des Volumens wird unter Verwendung von Strahlen mit Unterstützung einer Grafik-Engine ein Algorithmus entwickelt. Der Algorithmus ist robust gegen nicht vollständig geschlossene Volumen. Die Bedienung, Überprüfung und Visualisierung findet durch praktischen Einsatz von AR statt.
We present a system that exploits mobile rotational tracking and photospherical imagery to allow users to share their environment with remotely connected peers “on the go.” We surveyed related interfaces and developed a unique groupware application that shares a mixed reality space with spatially-oriented live video feeds. Users can collaborate through realtime audio, video, and drawings in a virtual space. The developed system was tested in a preliminary user study, which confirmed an increase in spatial and situational awareness among viewers as well as reduction in cognitive workload. Believing that our system provides a novel style of collaboration in mixed reality environments, we discuss future applications and extensions of our prototype.
Multi-user virtual reality is transforming towards a social activity that is no longer only used by remote users, but also in large-scale location-based experiences. Usage of realtime-tracked avatars in co-located business-oriented applications with a ”guide-user-scenario” is examined for user-related factors of Spatial Presence, Social Presence, User Experience and Task Load. A user study was conducted in order to compare both techniques of a realtime-tracked avatar and a non-visualised guide. Results reveal that the avatar-guide enhanced and stimulated communicative processes while facilitating interaction possibilities and creating a higher sense of mental immersion for users and engagement.
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.
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.