To allow interactive visualization of very large data sets, one effective strategy is to create a multi-resolution representation of the original data and perform level of detail rendering based on the quality and speed requirements at run time. Toward this goal, the Gravity Research Group has developed several algorithms to enable multi-resolution visualization of large data sets. Our research focus includes ...

Displaying isosurface is one of the most popular methods to visualize 3D scalar fields. When extracting isosurfaces, the traditional method such as Marching Cubes requires to scan the entire data set, which can be problematic when the underlying data set is large. To speed up the computation, researchers in the Gravity Research Group has developed several algorithms that can effectively minimize...

Besides the research projects described in other pages, we are also conducting a wide range of research with a special focus on real time performance.  Examples of the topics include GPU based rendering of unstructured grid data, real time medical surgical simulation, analysis of spatial probability data, integration with system middleware.