Efficient Feature-Driven Visualization of Large-Scale Scientific Data

[摘要] Very large, complex scientific data acquired in many research areas creates critical challenges for scientists to understand, analyze, and organize their data. The objective of this project is to expand the feature extraction and analysis capabilities to develop powerful and accurate visualization tools that can assist domain scientists with their requirements in multiple phases of scientific discovery. We have recently developed several feature-driven visualization methods for extracting different data characteristics of volumetric datasets. Our results verify the hypothesis in the proposal and will be used to develop additional prototype systems.

[发布日期] 2012-12-12 [发布机构] University of North Carolina at Charlotte

[关键词] 97 Mathematics And Computing