Illustrative Scientific Visualization Framework
dc.contributor.author | Sousa, Mario Costa | en_US |
dc.contributor.author | Gooch, Amy Ashurst | en_US |
dc.contributor.author | Gooch, Bruce | en_US |
dc.contributor.editor | Laszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathofer | en_US |
dc.date.accessioned | 2013-10-22T07:40:20Z | |
dc.date.available | 2013-10-22T07:40:20Z | |
dc.date.issued | 2005 | en_US |
dc.description.abstract | Current scientific visualization techniques create complex images that may be difficult to interpret and do not have the expressiveness of illustrations. Incorporating traditional scientific illustration techniques into a visualization system enables artists and non-artists to harnesses the power of traditional illustration techniques when visually representing scientific data. In this paper we present an illustrative scientific visualization framework incorporating general illustration principles, as well as techniques and aesthetics of various styles. Such a framework provides a basic foundation for categorizing and communicating research and may stimulate future illustrative visualization systems. | en_US |
dc.description.seriesinformation | Computational Aesthetics in Graphics, Visualization and Imaging | en_US |
dc.identifier.isbn | 3-905673-27-4 | en_US |
dc.identifier.issn | 1816-0859 | en_US |
dc.identifier.uri | https://doi.org/10.2312/COMPAESTH/COMPAESTH05/057-065 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniques | en_US |
dc.title | Illustrative Scientific Visualization Framework | en_US |
Files
Original bundle
1 - 1 of 1