Visualisation of complex flows using texture-based techniques (original) (raw)

Applications of Texture-Based Flow Visualization

Flow visualization is a classic sub-field of scientific visualization. The task of flow visualization algorithms is to depict vector data, i.e., data with magnitude and direction. An important category of flow visualization techniques makes use of textures in order to convey the properties of a vector field. Recently, several research advances have been made in this special category, of dense, texture-based techniques. We present the application of the most recent texture-based techniques to real world data from oceanography and meteorology, computational fluid dynamics (CFD) in the automotive industry, and medicine. We describe the motivations for using texture-based algorithms as well as the important recent advancements required for their successful incorporation into industry grade software. Our goal is to appeal to practitioners in the field interested in learning how these recent techniques can help them gain insight into problems that engineers and other professionals may be faced with on a daily basis. Many of these applications have only recently become possible. Keywords: flow visualization; vector field visualization; texture; computational fluid dynamics (CFD); meteorology; oceanography; in-cylinder flow; visualization systems; engine simulation; medical application

The State of the Art in Flow Visualization: Dense and Texture‐Based Techniques

2004

Abstract Flow visualization has been a very attractive component of scientific visualization research for a long time. Usually very large multivariate datasets require processing. These datasets often consist of a large number of sample locations and several time steps. The steadily increasing performance of computers has recently become a driving factor for a reemergence in flow visualization research, especially in texture-based techniques. In this paper, dense, texture-based flow visualization techniques are discussed.

The State of the Art in Flow visualization, part 1: Direct, Texture-based and Geometric Techniques

2003

Abstract Flow visualization has been a very attractive part of visualization research for a long time. Usually very large datasets need to be processed, which often consist of multivariate data with a large number of sample locations, often arranged in multiple time steps. Recently, the steadily increasing performance of computers again has become a driving factor for a reemergence in flow visualization, especially in techniques based on feature extraction, vector field clustering, and topology extraction.

FLOW VISUALIZATION USING NATURAL TEXTURES

The use of natural textures provides a richly diverse set of possibilities for the visualization of flow data. In this paper, we present methods that utilize the qualities and attributes of natural textures to visualize multiple scalar distributions and multiple vector fields obtained across a 2D domain in a turbulent boundary layer flow. First, we illustrate how different attributes of textures can represent scalar quantities along streamlines. We then present a technique that allows for the perception of two separate vector fields within the same image by utilizing different textures. Finally, we illustrate how textures have the ability to indicate specific regions of interest within flow images.

Design and implementation of geometric and texture-based flow visualization techniques

2005

Abstract Usually, research related software consists of individual, isolated prototypes because researchers are interested in a small proof-of-concept application for demonstration. Here we present software developed for research purposes, but which has been included into a larger, commercial visualization system. We describe the design and implementation of a flow visualization subsystem within the framework of a software package capable of modeling, simulation, and visualization of CFD simulation data.

Multiresolution flow visualization

2001

Flow visualization has been an active research field for several years and various techniques have been proposed to visualize vector fields, streamlines and textures being the most effective and popular ones. While streamlines are suitable to get rough information on the behavior of the flow, textures depict the flow properties at the pixel level. Depending on the situation the suitable representation could be streamlines or texture. This paper presents a method to compute a sequence of streamline-based images of a vector field with different densities, ranging from sparse to texturelike representations. It is based on an effective streamline placement algorithm and a production scheme that recalls those used in the multiresolution theory. Indeed a streamline defined at level J of the hierarchy is defined for all levels J'>J. A viewer allows us to interactively select the desired density while zooming in and out in a vector field. The density of streamlines in the image can also be automatically computed as a function of a derived quantity, such as velocity or vorticity.

Interactive 3D flow visualization based on textures and geometric primitives

2005

Abstract As the size of CFD simulation data sets expand, the job of the engineer to analyze, explore, and present the data becomes more challenging. The scientific visualization tools used by the engineer should evolve to meet the growing demands presented by large simulation data sets. Furthermore, no single visualization technique can meet each users needs. We present a detailed selection of recently developed direct, geometric, and texture-based flow visualization techniques.

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

Visualizing vector fields: the thick oriented stream-line algorithm (TOSL)

Computers & Graphics, 2001

The visualization of dense vector fields has important applications for scientific purposes. Beyond the standard methods, such as arrows and particle tracing, texture-based methods are able to show almost all the details of a field. This paper presents the Thick Oriented Stream-Line (TOSL) algorithm, which can show direction, orientation and local flow speed even for dense vector fields by simulating the convolution process. A practical comparison of the performances of TOSL vs. other visualizations algorithms (LIC and fastLIC) shows that the proposed algorithm can provide output textures faster than the other considered techniques. r