A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields (original) (raw)

GPUFLIC: interactive and accurate dense visualization of unsteady flows

2006

The paper presents an efficient and accurate implementation of Unsteady Flow LIC (UFLIC) on the Graphics Processing Unit (GPU). We obtain the same, high quality texture representation of unsteady two-dimensional flows as the original, time-consuming method but leverage the features of today's commodity hardware to achieve interactive frame rates. Despite a remarkable number of recent contributions in the field of texture-based visualization of time-dependent vector fields, the present paper is the first to provide a faithful implementation of that prominent technique fully supported by the graphics pipeline.

Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization

IEEE Transactions on Visualization and Computer Graphics, 2002

A new hybrid scheme (LEA) that combines the advantages of Eulerian and Lagrangian frameworks is applied to the visualization of dense representations of time-dependent vector fields. The algorithm encodes the particles into a texture that is then advected. By treating every particle equally, we can handle texture advection and dye advection within a single framework. High temporal and spatial correlation is achieved through the blending of successive frames. A combination of particle and dye advection enables the simultaneous visualization of streamlines, particle paths, and streaklines. We demonstrate various experimental techniques on several physical flow fields. The simplicity of both the resulting data structures and the implementation suggest that LEA could become a useful component of any scientific visualization toolkit concerned with the display of unsteady flows.

Image space based visualization of unsteady flow on surfaces

2003

Abstract We present a novel technique for direct visualization of unsteady flow on surfaces from computational fluid dynamics. The method generates dense representations of time-dependent vector fields with high spatio-temporal correlation using both Lagrangian-Eulerian Advection and Image Based Flow Visualization as its foundation. While the 3D vector fields are associated with arbitrary triangular surface meshes, the generation and advection of texture properties is confined to image space.

Visualisation of complex flows using texture-based techniques

ANZIAM Journal, 2013

Detailed representations of complex flow datasets are often difficult to generate using traditional vector visualisation techniques such as arrow plots and streamlines. This is particularly true when the flow regime changes in time. Texture based techniques, which are based on the advection of dense textures, are novel techniques for visualising such flows. We review two popular texture based techniques and their application to flow datasets sourced from active research projects. The techniques investigated were Line integral convolution [Cabral and Leedom, SIGGRAPH'93, pp.263-270, 1993], and Image based flow visualisation [van Wijk, SIGGRAPH'02, pp.745-754, 2002]. We evaluate these and report on their effectiveness from a visualisation perspective. We also report on their ease of implementation and computational overheads.

Unsteady Flow Visualization by Animating Evenly-Spaced Streamlines

Computer Graphics Forum, 2000

In recent years the work on vector field visualization has been concentrated on LIC-based methods. In this paper we propose an alternative solution for the visualization of unsteady flow fields. Our approach is based on the computation of temporal series of correlated images. While other methods are based on pathlines and try to correlate successive images at the pixel level, our approach consists in correlating instantaneous visualizations of the vector field at the streamline level. For each frame a feed forward algorithm computes a set of evenly-spaced streamlines as a function of the streamlines generated for the previous frame. This is achieved by establishing a correspondence between streamlines at successive time steps. A cyclical texture is mapped onto every streamline and textures of corresponding streamlines at different time steps are correlated together so that, during the animation, they move along the streamlines, giving the illusion that the flow is moving in the direction defined by the streamline. Our method gives full control on the image density so that we are able to produce smooth animations of arbitrary density, covering the field of representations from sparse, that is classical streamline-based images, to dense, that is texture-like images.

Hardware-accelerated texture advection for unsteady flow visualization

2000

Particle tracking in liquid and gaseous fluids is a very useful technique to better understand flow dynamics. In this paper, we develop a novel algorithm to track a dense collection of particles in unsteady two-dimensional flows. To capitalize on the rapid improvements in graphic hardware technology, the algorithm is exclusively based on subsets of the OpenGL implementation of SGI. Making use of several proposed extensions to the OpenGL-1.2 specification, animations of over 5 3 10 × are produced at one frame/sec. on an SGI Octane with EMXI graphics. These animations are based on a multidomain implementation that overcomes hardware limitations such as insufficient memory in the hardware frame buffers to store temporary arrays and the low number of bits per color channel in buffers and textures. High image quality is achieved by careful attention to edge effects, noise frequency, and image enhancement. We provide a detailed description of the hardware implementation, including temporal and spatial coherence techniques, multidomain tiling, and the effect of hardware constraints on the precision of the algorithm.

Lagrangian-Eulerian advection for unsteady flow visualization

2001

In this paper, we propose a new technique to visualize dense representations of time-dependent vector fields based on a Lagrangian-Eulerian Advection (LEA) scheme. The algorithm produces animations with high spatio-temporal correlation at interactive rates. With this technique, every still frame depicts the instantaneous structure of the flow, whereas an animated sequence of frames reveals the motion a dense collection of particles would take when released into the flow. The simplicity of both the resulting data structures and the implementation suggest that LEA could become a useful component of any scientific visualization toolkit concerned with the display of unsteady flows.

On Time-Varying Flow Fields: a streakline-based visualization method

1999

The visualization of unsteady flows is an attractive field of research and texture-based techniques seem to pro- vide satisfactory results. In this paper we propose a texture-based method which follows streaklines in order to produce an effective visualization of time-dependent phenomena. Our approach allows to overcome the lack of temporal coherence due to instantaneous methods which depict each frame of

Hardware-Accelerated Lagrangian-Eulerian Texture Advection for 2D Flow Visualizations

2002

A hardware-based approach for visualizing unsteady flow fields by means of Lagrangian-Eulerian advection is presented. Both noise-based and dyebased texture advection is supported. The implementation allows the advection of each texture to be performed completely on the graphics hardware in a single-pass rendering. We discuss experiences with the interactive visualization of unsteady flow fields that become possible due to the high visualization speed of the hardware-based approach.

Hardware-Accelerated Lagrangian-Eulerian Texture Advection for 2D Flow Visualization

A Texture-Based Framework for Spacetime-Coherent Visualization of Time-Dependent Vector Fields (original) (raw)

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