Global, geometric, and feature-based techniques for vector field visualization

Citation
Fh. Post et al., Global, geometric, and feature-based techniques for vector field visualization, FUT GENER C, 15(1), 1999, pp. 87-98
Citations number
23
Categorie Soggetti
Computer Science & Engineering
Journal title
FUTURE GENERATION COMPUTER SYSTEMS
ISSN journal
0167739X → ACNP
Volume
15
Issue
1
Year of publication
1999
Pages
87 - 98
Database
ISI
SICI code
0167-739X(199902)15:1<87:GGAFTF>2.0.ZU;2-R
Abstract
Vector field visualization techniques are subdivided into three categories: global, geometric, and feature-based techniques. We describe each category , and we present some related work and an example in each category from our own recent research. Spot noise is a texture synthesis technique for globa l visualization of vector fields on 2D surfaces. Deformable surfaces is a g eneric technique for extraction and Visualization of geometric objects (sur faces or volumes) in 3D data fields. Selective and iconic visualization is an approach that extracts important regions or structures from large data s ets, calculates high-level attributes, and visualizes the features using pa rameterized iconic objects. It is argued that for vector fields a range of Visualization techniques are needed to fulfill the needs of the application . (C) 1999 Published by Elsevier Science B.V. All rights reserved.