Title :
A bottom-up scheme for user-defined feature exploration in vector field ensembles
Author :
Richen Liu;Hanqi Guo;Xiaoru Yuan
Author_Institution :
Key Laboratory of Machine Perception (Ministry of Education), and School of EECS, Peking University
Abstract :
Most of the existing approaches to visualize vector field ensembles are achieved by visualizing the uncertainty of individual variables from different simulation runs. However, the comparison of the derived feature or user-defined feature, such as the vortex in ensemble flow is also of vital significance since they often make more sense according to the domain knowledge. In this work, we present a framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help to extract vortex with a user-defined shape, and further compute the geometry information including the size, and the geo-spatial location of the extracted vortex. Finally we design some linked views to compare the feature between different runs.
Keywords :
"Three-dimensional displays","Meteorology","Visualization","Feature extraction","Computational modeling","Data models","Data visualization"
Conference_Titel :
Scientific Visualization Conference (SciVis), 2015 IEEE
DOI :
10.1109/SciVis.2015.7429510