Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Fast and resolution independent line integral convolution
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Visualizing vector fields using line integral convolution and dye advection
Proceedings of the 1996 symposium on Volume visualization
Proceedings of the 7th conference on Visualization '96
Strategies for effectively visualizing 3D flow with volume LIC
VIS '97 Proceedings of the 8th conference on Visualization '97
Applications of pixel textures in visualization and realistic image synthesis
I3D '99 Proceedings of the 1999 symposium on Interactive 3D graphics
Interactive exploration of volume line integral convolution based on 3D-texture mapping
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Anisotropic nonlinear diffusion in flow visualization
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
PLIC: bridging the gap between streamlines and LIC
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Hardware-accelerated texture advection for unsteady flow visualization
Proceedings of the conference on Visualization '00
AUFLIC: an accelerated algorithm for Unsteady Flow Line Integral Convolution
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Image based flow visualization
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Transport and anisotropic diffusion in time-dependent flow visualization
Proceedings of the conference on Visualization '01
IEEE Transactions on Visualization and Computer Graphics
A New Line Integral Convolution Algorithm for Visualizing Time-Varying Flow Fields
IEEE Transactions on Visualization and Computer Graphics
Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization
IEEE Transactions on Visualization and Computer Graphics
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Scientific Visualization of Large-Scale Unsteady Fluid Flows
Scientific Visualization, Overviews, Methodologies, and Techniques
Animating Flow Fields: Rendering of Oriented Line Integral Convolution
CA '97 Proceedings of the Computer Animation
VIS '95 Proceedings of the 6th conference on Visualization '95
Hardware-Accelerated Texture Advection for Unsteady Flow Visualization
VISUALIZATION '00 Proceedings of the 11th IEEE Visualization 2000 Conference (VIS 2000)
A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Image Based Flow Visualization for Curved Surfaces
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Image Space Based Visualization of Unsteady Flow on Surfaces
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
3D IBFV: Hardware-Accelerated 3D Flow Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
An Advanced Evenly-Spaced Streamline Placement Algorithm
IEEE Transactions on Visualization and Computer Graphics
A Texture-Based Hardware-Independent Technique for Time-Varying Volume Flow Visualization
Journal of Visualization
GPUFLIC: interactive and accurate dense visualization of unsteady flows
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
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Unsteady flow line integral convolution (UFLIC) is a texture synthesis technique for visualizing unsteady flows with high temporal-spatial coherence. Unfortunately, UFLIC requires considerable time to generate each frame due to the huge amount of pathline integration that is computed for particle value scattering. This paper presents Accelerated UFLIC (AUFLIC) for near interactive (1 frame/second) visualization with 160,000 particles per frame. AUFLIC reuses pathlines in the value scattering process to reduce computationally expensive pathline integration. A flow-driven seeding strategy is employed to distribute seeds such that only a few of them need pathline integration while most seeds are placed along the pathlines advected at earlier times by other seeds upstream and, therefore, the known pathlines can be reused for fast value scattering. To maintain a dense scattering coverage to convey high temporal-spatial coherence while keeping the expense of pathline integration low, a dynamic seeding controller is designed to decide whether to advect, copy, or reuse a pathline. At a negligible memory cost, AUFLIC is 9 times faster than UFLIC with comparable image quality.