Accelerated Stereo Rendering with Hybrid Reprojection-Based Rasterization and Adaptive Ray-Tracing Towards Predictive Virtual Prototyping: Color Calibration of Consumer VR HMDs Immersive Exploration of OSGi-based Software Systems in Virtual Reality Directional Occlusion via Multi-Irradiance Mapping

Über Uns

Die Computer Graphics Group (CGG) forscht in den Bereichen Echtzeitrendering, Virtual Reality, Bekleidungssimulation und Kollisionserkennung.

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CG Learning

CG Learning is an eLearning platform for computer graphics. It is based on 3D learning modules to convey knowledge in an interactive way.

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Aktuelles

Derzeit forscht die CGG am realistischen Rendering und der akkuraten Farbwiedergabe von Kleidungsstücken auf mobilen VR/AR-Displays.

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Kontakt

Prof. Dr. Arnulph Fuhrmann

0221 8275-2614
arnulph.fuhrmann at th-koeln.de
Sprechzeiten nach Vereinbarung

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+Neuigkeiten
24th Sep 2020

Intersection-free mesh decimation for high resolution cloth models

We present an approach to reduce high-resolution polygonal clothing meshes for Mixed Reality (VR/AR) scenarios. Due to hardware limitations, current mobile devices require 3D models with a strongly reduced triangle count to be displayed smoothly. A particular challenge for mesh reduction of clothing models is that these models usually consist of several fabric layers, which are spatially tightly together, touching in many places.

+Neuigkeiten
24th Sep 2020

An Atlas-Packing Algorithm for Efficient Rendering of Arbitrarily Parametrized Decal Textures

When rendering large amounts of decals, huge overheads can considerably reduce performance, which is especially harmful for critical applications such as virtual reality. To reduce these overheads, we propose a novel algorithm packing arbitrarily parametrized decal textures into a sparse texture, which is realized via a reference atlas holding the necessary information to access tiles stored in a tile atlas.

+Neuigkeiten
24th Sep 2020

Performance of Augmented Reality Remote Rendering via Mobile Network

In this paper, a remote rendering system for an AR app based on Unity is presented. The system was implemented for an edge server, which is located within the network of the mobile network operator.

+Forschungsprojekte
22nd Jul 2020

AVASAG

Im Forschungsprojekt AVASAG wird ein Avatar-basierter Sprachassistent zur automatisierten Gebärdenübersetzung entwickelt.

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