We address the automatic generation of large geometric models. Our goal is the statistical generation of large geometric models which can be useful for visualization experimentation. An example is the problem of generating a city environment resembling Manhattan. A first objective is obtaining the model itself, although the eventual objective is visualization of this model. Here we provide some tools for rapid generating big city models. To avoid the inherent time consuming process needed for a ``real Manhattan'', we introduce a statistical approach to generate a ``Manhattan-like city''. In principle, we can modify our method to generate large look-alikes of any other city or urban environment.
Any questions or comments about this site? Please contact Irena Nemcova-Nemec.
Last updated: August 26, 1998 08:09 PM