Efficient Index Support for View-Dependent Queries on CFD Data
Recent years have revealed a growing importance of Virtual Reality (VR) visualization techniques which offer comfortable means to enable users to interactively explore 3D data sets. Particularly in the field of computational fluid dynamics (CFD), the rapidly increasing size of data sets with complex geometric and supplementary scalar information requires new out-of-core solutions for fast isosurface extraction and other CFD post-processing tasks. Whereas spatial access methods overcome the limitations of main memory size and support fast data selection, their VR support needs to be improved. Firstly, interactive users strongly depend on quick first views of the regions in their view direction and, secondly, they require quick relevant views even when they change their view point or view direction.
|Authors:||Brochhaus C., Seidl T.|
|Published in:||Papadias D., Zhang D., Kollios G. (eds.): Advances in Spatial and Temporal Databases. Proc. 10th International Symposium on Spatial and Temporal Databases (SSTD 2007), Boston, MA, USA. Springer LNCS 4605|
|Publisher:||Springer - Heidelberg, Germany|
|Type:||Conference papers (peer reviewed)|
|Research topic:||Fast Access to Complex Data|