Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
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
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
Image based flow visualization
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
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
IEEE Computer Graphics and Applications
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
Accelerated Unsteady Flow Line Integral Convolution
IEEE Transactions on Visualization and Computer Graphics
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)
Numerical Visualization by Rapid Isosurface Extractions Using 3D Span Spaces
Journal of Visualization
View compensated compression of volume rendered images for remote visualization
IEEE Transactions on Image Processing
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Existing texture-based 3D flow visualization techniques, e.g., volume Line Integral Convolution (LIC), are either limited to steady flows or dependent on special-purpose graphics cards. In this paper we present a texture-based hardware-independent technique for time-varying volume flow visualization. It is based on our Accelerated Unsteady Flow LIC (AUFLIC) algorithm (Liu and Moorhead, 2005), which uses a flow-driven seeding strategy and a dynamic seeding controller to reuse pathlines in the value scattering process to achieve fast time-dependent flow visualization with high temporal-spatial coherence. We extend AUFLIC to 3D scenarios for accelerated generation of volume flow textures. To address occlusion, lack of depth cuing, and poor perception of flow directions within a dense volume, we employ magnitude-based transfer functions and cutting planes in volume rendering to clearly show the flow structure and the flow evolution.