The Research Cluster "Smart Communities and Technologies" (Smart CT) at TU Wien will provide the scientific underpinnings for next-generation complex smart city and communities infrastructures. Cities are ever-evolving, complex cyber physical systems of systems covering a magnitude of different areas. The initial concept of smart cities and communities started with cities utilizing communication technologies to deliver services to their citizens and evolved to using information technology to be smarter and more efficient about the utilization of their resources. In recent years however, information technology has changed significantly, and with it the resources and areas addressable by a smart city have broadened considerably. They now cover areas like smart buildings, smart products and production, smart traffic systems and roads, autonomous driving, smart grids for managing energy hubs and electric car utilization or urban environmental systems research.
3D spatialization creates the link between the internet of cities infrastructure and the actual 3D world in which a city is embedded in order to perform advanced computation and visualization tasks. Sensors, actuators and users are embedded in a complex 3D environment that is constantly changing. Acquiring, modeling and visualizing this dynamic 3D environment are the challenges we need to face using methods from Visual Computing and Computer Graphics. 3D Spatialization aims to make a city aware of its 3D environment, allowing it to perform spatial reasoning to solve problems like visibility, accessibility, lighting, and energy efficiency.
In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.
In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.
Uses concepts from applied mathematics and computer science to design efficient algorithms for the reconstruction, analysis, manipulation, simulation and transmission of complex 3D models. Example applications are collision detection, reconstruction, compression, occlusion-aware surface handling and improved sampling conditions.
|Image||Bib Reference||Publication Type|
Providing Highly Detailed Geometry for Cloud and Edge Real-Time Rendering, 7. July 2021,online
|Markus Schütz, Bernhard Kerbl, Michael Wimmer
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization
Computer Graphics Forum,40:115-126,July 2021.
|Journal Paper with Conference Talk|
View-Dependent Surrogate Terminals for Procedural Geometry Generation
|Michael Kenzel, Bernhard Kerbl, Martin Winter, Markus Steinberger
CUDA and Applications to Task-based Programming
In Eurographics 2021 - Tutorials.May 2021.
|Other Reviewed Publication|
Ensuring the Effectiveness of CHC++ in Vulkan
|Linus Horvath, Bernhard Kerbl, Michael Wimmer
Improved Triangle Encoding for Cached Adaptive Tessellation
Poster shown atHPG 2020 ( 1. May 2020-22. June 2020)
|Wolfgang Tatzgern, Benedikt Mayr, Bernhard Kerbl, Markus Steinberger
Stochastic Substitute Trees for Real-Time Global Illumination
In Symposium on Interactive 3D Graphics and Games, pages1-9.May 2020.
|Johannes Unterguggenberger, Bernhard Kerbl, Markus Steinberger, Dieter Schmalstieg, Michael Wimmer
Fast Multi-View Rendering for Real-Time Applications
In Eurographics Symposium on Parallel Graphics and Visualization, pages13-23.May 2020.
Planetary Rendering with Mesh Shaders
|Alessio Arleo, Christos Tsigkanos, Chao Jia, Roger Leite, Ilir Murturi, Manfred Klaffenböck, Schahram Dustdar, Silvia Miksch, Michael Wimmer, Johannes Sorger
Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge
In IEEE VIS 2019.October 2019.
|Florian Michelic, Michael Kenzel, Karl Haubenwallner, Bernhard Kerbl, Markus Steinberger
Real-time Rendering of Procedural Planets at Arbitrary Altitudes
Poster shown atI3D 2019 (21. May 2019-23. May 2019)