A Practical Real-Time Model for Diffraction on Rough Surfaces
Olaf Clausen, Martin Mišiak, Arnulph Fuhrmann, Ricardo Marroquim and Marc Erich Latoschik In: Journal of Computer Graphics Techniques Abstract Wave optics...
Facial Feature Enhancement for Immersive Real-Time Avatar-Based Sign Language Communication using Personalized CNNs
Kristoffer Waldow, Arnulph Fuhrmann and Daniel Roth, In:Proceedings of 31th IEEE Virtual Reality Conference (VR ’24), Orlando, USA Abstract: Facial recognition is crucial in sign language communication. Especially for virtual...
Deep Neural Labeling: Hybrid Hand Pose Estimation Using Unlabeled Motion Capture Data With Color Gloves in Context of German Sign Language
Kristoffer Waldow, Arnulph Fuhrmann, Daniel Roth in 6th IEEE International Conference on Artificial Intelligence & extended and Virtual Reality 2024 (AIxVR ’24) Abstract: Hands are fundamental to conveying emotions and...
An Evaluation of Dichoptic Tonemapping in Virtual Reality Experiences
Martin Mišiak, Tom Müller, Arnulph Fuhrmann and Marc Erich Latoschik In: Virtuelle und Erweiterte Realität – 20. Workshop der GI-Fachgruppe VR/AR, 2023, Köln, Germany Abstract: Recent research has shown that...
Forschungsprojekt GTN – Games Technology Network
Das Vorhaben hat zum Ziel, ein Netzwerk von akademischen und Industrie-Partnern aufzubauen, das Forschung und Entwicklung in der Spieletechnologie in NRW befördert.
Impostor-based Rendering Acceleration for Virtual, Augmented, and Mixed Reality
An image-based rendering approach to accelerate rendering time of XR scenes containing a large number of complex high poly count objects. Our approach replaces complex objects by impostors specifically designed to work in Virtual-, Augmented- and Mixed Reality scenarios. A dynamic run-time recreation of impostors is implemented for larger changes in view position. In addition to the significant performance benefit, our impostors compare favorably against the original mesh representation, as geometric and textural temporal aliasing artifacts are heavily suppressed.
KoViTrek – Kollaboratives Virtual Reality Trainingssystem für Rettungskräfte und Katastrophenvorsorge
Ein kollaboratives und immersives Virtual Reality Trainingssystem für Rettungskräfte und Katastrophenvorsorge
AVASAG
Im Forschungsprojekt AVASAG wird ein Avatar-basierter Sprachassistent zur automatisierten Gebärdenübersetzung entwickelt.
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