Speaker: Prof. Renato Pajarola (University of Zürich, Head of the Visualization and MultiMedia Lab )
Abstract:
Visualization of large vector data is a core task in geographic visualization systems. Vector maps have to displayed at different generalization levels, traditionally by using several discrete levels-of-detail (LODs). This limits the generalization levels to a fixed and predefined set of LODs. However, fast GPUs and novel rendering techniques can be exploited to integrate dynamic vector map LOD management into GPU-based algorithms for locally-adaptive line and polygon simplification and real-time 3D rendering. We propose new GPU-based techniques that allow for fast interactive visualization of large vector map datasets at variable LODs rendered over a 3D terrain. The technique features massive GPU-parallelized point-on-line and point-inside-polygon testing mechanisms. At run time, appropriate and view-dependent error metrics supports screen-space adaptive LOD levels and pixel-prices line or polygon rendering.
Bio:
Renato Pajarola has been a Professor in computer science at the University of Zürich since 2005, leading the Visualization and MultiMedia Lab (VMML) in the Department of Informatics. He has previously been an Assistant Professor at the University of California Irvine and a Postdoc at Georgia Tech. He has received his Dipl. Inf-Ing. ETH and Dr. sc. techn. degrees in computer science from the Swiss Federal Institute of Technology (ETH) Zurich in 1994 and 1998, respectively. His research interests include interactive large-scale data visualization, real-time 3D graphics, 3D scanning & reconstruction, geometry processing, as well as parallel rendering. He is a EUROGRAPHICS Fellow and a Senior Member of IEEE and ACM.
