Paper Info
Title
UFLIC: a line integral convolution algorithm for visualizing unsteady flows
Abstract
This paper presents an algorithm, UFLIC (Unsteady Flow LIC), to visualize vector data in unsteady flow fields. Using the Line Integral Convolution (LIC) as the underlying method, a new convolution algorithm is proposed that can effectively trace the flow's global features over time. The new algorithm consists of a time-accurate value depositing scheme and a successive feed-forward method. The value depositing scheme accurately models the flow advection, and the successive feed-forward method maintains the coherence between animation frames. Our new algorithm can produce time-accurate, highly coherent flow animations to highlight global features in unsteady flow fields. CFD scientists, for the first time, are able to visualize unsteady surface flows using our algorithm. CR Categories and Subject Descriptors: I.3.3 (Computer Graphics): Picture/Image Generation ; I.3.6 (Computer Graphics): Methodology and Techniques; I.4.3 (Image Processing): Enhance- ment. Additional Keywords: flow visualization, vector field visualiza- tion, image convolution, line integral convolution, flow animation, unsteady flows, surface flows, texture synthesis.
Year
DOI
Venue
1997
10.1145/266989.267093
IEEE Visualization 2003
Keywords
Field
DocType
flow animation,vector field visualization,image convolution,unsteady flow,line integral convolution algorithm,surface flows,line integral convolution,flow visualization,unsteady flows,texture synthesis,algorithms,flow visualisation,vector field,convolution,image processing,feedforward,data visualisation,feed forward,computer graphic,computer animation,integral equations,computational fluid dynamics
Computer science,Convolution,Algorithm,Integral equation,Theoretical computer science,Coherence (physics),Computational fluid dynamics,Kernel (image processing),Computer animation,Flow visualization,Line integral convolution
Conference
ISBN
Citations 
PageRank 
1-58113-011-2
50
3.47
References 
Authors
7
2
Name
Order
Citations
PageRank
Han-Wei Shen12204148.60
David L. Kao215414.17