Open AccessEfficient Feature-Driven Visualization of Large-Scale Scientific Data
Author(s) -
Aidong Lu
Publication year - 2012
Language(s) - English
Resource type - Reports
DOI - 10.2172/1057192
Subject(s) - visualization , computer science , data science , domain (mathematical analysis) , feature (linguistics) , scientific visualization , data mining , data visualization , information visualization , scale (ratio) , creative visualization , geography , mathematical analysis , linguistics , philosophy , mathematics , cartography
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