Karrenbauer, Andreas
Researcher Karrenbauer, Andreas Discrete Optimization Name of Research Group: Discret Optimization Homepage Research Group: www.mpi-inf.mpg.de/~karrenba/ Mentor Saarbrücken: Kurt Mehlhorn Research Mission: Discrete Optimization problems are ubiquitous. Whenever there is a choice between several possibilities, there is an inherent optimization problem. Our core competence in this area is to recognize such optimization problems, to establish mathematical models, to tackle them by state-of-the-art methods, and to invent new techniques to obtain satisfactory results. Our research is...
Read MoreReinhard, Erik
Researcher Erik Reinhard Color Image Processing Name of Research Group: Color Image Processing Personal Homepage: www.erikreinhard.com/index.html Mentor Saarbrücken: Hans-Peter Seidel Research Mission: Most images and videos are capture, stored, manipulated and displayed with limited fidelity and accuracy. Capture devices typically produce data that is limited and quantised in time, space, gamut and dynamic range. Subsequently, nearly all processing, transmission and display is achieved with limited fidelity. As a result, effective communication by means of visual media is...
Read MoreVajda, Péter
Researcher Peter Vajda Personalized TeleVision News Name of Research Group: Personalized TeleVision News Personal Homepage: www.linkedin.com/in/p%C3%A9ter-vajda-9a03aaa Mentor Saarbrücken: Hans-Peter Seidel Mentor Stanford: Bernd Girod Research Mission: We seek to develop and demonstrate a platform for personalized television news to replace the traditional one-broadcast-fits-all model. We forecast that next-generation video news consumption will be more personalized, device agnostic, and pooled from many different information sources. The technology for our research...
Read MoreKerber, Michael
Researcher Michael Kerber Topological and Geometric Computing Mentor Saarbrücken: Kurt Mehlhorn Mentor Stanford: Leonidas Guibas Research Mission: Past years have witnessed a growing demand for generally applicable methods to detect and quantify meaningful features in spatial data, for instance in two and three dimensional images or in high-dimensional point clouds. Recent developments look at such data through a topological lens: for instance, manifold reconstruction means to reveal the topological structure of a hidden manifold from a finite point sample. Another example is...
Read MoreWicke, Martin
Researcher Martin Wicke Methods for Large-Scale Physical Modeling and Animation Name of Research Group: Methods for Large-Scale Physical Modeling and Animation Personal Homepage: www.linkedin.com/pub/martin-wicke/14/705/a7b Mentor Saarbrücken: Hans-Peter Seidel Mentor Stanford: Leonidas Guibas Research Mission: General Reduced-Order Models: Dimensionality reduction is a powerful technique that makes very high-dimensional simulations tractable. As an instance of data-driven simulation, creating a reduced-order model requires examples that have to be generated using traditional...
Read MoreTheisel, Holger
Researcher Holger Theisel Topological Methods for Vector Field Processing Name of Research Group: Topological Methods for Vector Field Processing Personal Homepage: www.ovgu.de/Theisel.html Mentor Saarbrücken: Hans-Peter Seidel Research Mission: During the last decade, Scientific Visualization has grown into an active area of research focusing on a variety of different applications. Among the data classes considered in visualization,flow data play an outstanding role. Flow data, obtained both from simulation and measurement processes, usually comes as 2D or 3Dvector fields....
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