Visualizing features and tracking their evolution

Author

Samtaney, Ravi ; Silver, Deborah ; Zabusky, Norman ; Cao, Jim

Author_Institution

Dept. of Mech. & Aerosp. Eng., Rutgers Univ., New Brunswick, NJ, USA

Volume

27

Issue

7

fYear

1994

fDate

7/1/1994 12:00:00 AM

Firstpage

20

Lastpage

27

Abstract

We describe basic algorithms to extract coherent amorphous regions (features or objects) from 2 and 3D scalar and vector fields and then track them in a series of consecutive time steps. We use a combination of techniques from computer vision, image processing, computer graphics, and computational geometry and apply them to data sets from computational fluid dynamics. We demonstrate how these techniques can reduce visual clutter and provide the first step to quantifying observable phenomena. These results can be generalized to other disciplines with continuous time-dependent scalar (and vector) fields.<>

Keywords

computational geometry; computer vision; data visualisation; feature extraction; flow visualisation; fluid dynamics; image segmentation; physics computing; coherent amorphous regions; computational fluid dynamics; computational geometry; computer graphics; computer vision; feature extraction; image processing; observable phenomena; time steps; visual clutter; Aerodynamics; Clouds; Computational fluid dynamics; Computer vision; Data mining; Data visualization; Numerical simulation; Silver; Tracking; Vehicle dynamics;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/2.299407

Filename

299407