| dc.contributor.author | Telea, Alexandru | en_US |
| dc.contributor.author | Wijk, Jarke J. van | en_US |
| dc.contributor.editor | David S. Ebert and Jean M. Favre and Ronald Peikert | en_US |
| dc.date.accessioned | 2014-01-30T06:45:57Z | |
| dc.date.available | 2014-01-30T06:45:57Z | |
| dc.date.issued | 2001 | en_US |
| dc.identifier.isbn | 3-211-83674-8 | en_US |
| dc.identifier.issn | 1727-5296 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/VisSym/VisSym01/165-174 | en_US |
| dc.description.abstract | Voronoi diagrams are an important data structure in computer science. However well studied mathematically, understanding such diagrams for different metrics, orders, and site shapes is a complex task. We propose a new method to visualize k-order diagrams and give an efficient adaptive implementation for this method. The algorithm is easy to customize for different metrics and site shapes. Its real-time performance makes it suitable for interactive planning and analysis of complex Voronoi configurations in 2D.We illustrate the method for different combinations of metrics and site shapes. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Visualization of Generalized Voronoi Diagrams | en_US |
| dc.description.seriesinformation | Eurographics / IEEE VGTC Symposium on Visualization | en_US |
