We demonstrate a physically-based technique for predicting the drape of a wide variety of woven fabrics. The approach exploits a theoretical model that explicitly represents the microstructure of woven cloth with interacting particles, rather than utilizing a continuum approximation. By testing a cloth sample in a Kawabata fabric testing device, we obtain data that is used to tune the model's energy functions, so that it reproduces the draping behavior of the original material. Photographs, comparing the drape of actual cloth with visualizations of simulation results, show that we are able to reliably model the unique large-scale draping characteristics of distinctly different fabric types. iii Figure 1.1: Draping cloth objects 1 Introduction The vast number of uses for cloth are mirrored in the extraordinary variety of types of woven fabrics. These range from the most exquisite fine silks, to the coarsest of burlaps, and are woven from such diverse fibers as natural wool and synth...

We present a new visualization method for 2d flows which allows us to combine multiple data values in an image for simultaneous viewing. We utilize concepts from oil painting, art, and design as introduced in [1] to examine problems within fluid mechanics. We use a combination of discrete and continuous visual elements arranged in multiple layers to visually represent the data. The representations are inspired by the brush strokes artists apply in layers to create an oil painting. We display commonly visualized quantities such as velocity and vorticity together with three additional mathematically derived quantities: the rate of strain tensor (defined in section 4), and the turbulent charge and turbulent current (defined in section 5). We describe the motivation for simultaneously examining these quantities and use the motivation to guide our choice of visual representation for each particular quantity. We present visualizations of three flow examples and observations concerning some o...

this paper, we show how texture mapping hardware can produce near-real-time texture motion,

Oriented Line Integral Convolution (OLIC) illustrates flow fields by convolving a sparse texture with an anisotropic convolution kernel. The kernel is aligned to the underlying flow of the vector field. OLIC does not only show the direction of the flow but also its orientation. This paper presents Fast Rendering of Oriented Line Integral Convolution (FROLIC), which is approximately two orders of magnitude faster than OLIC. Costly convolution operations as done in OLIC are replaced in FROLIC by approximating a streamlet through a set of disks with varying intensity. The issue of overlapping streamlets is discussed. Two efficient animation techniques for animating FROLIC images are described. FROLIC has been implemented as a Java applet. This allows researchers from various disciplines (typically with inhomogenous hardware environments) to conveniently explore and investigate analytically defined 2D vector fields. CR Categories and Subject Descriptors: I.3.3 [Computer Graphics ]: Pictur...

Visualization of three dimensional flow has to overcome a lot of problems to be effective. Among them are occlusion of distant details, lack of directional and depth hints and cluttering. In this paper we present methods which address these problems for realtime graphic representations applicable in virtual environments. We use animated, opacity-mapped streamlines as visualization icon for 3D flow visualization. We present a texture mapping technique to keep the level of texture detail along a streamline nearly constant even when the velocity of the flow varies considerably. An algorithm is described which distributes the dashtubes evenly in space. We apply magic lenses and magic boxes as interaction techniques for investigating densly filled areas without overwhelming the observer with visual detail. Implementation details of these methods and their integration in our virtual environment conclude the paper. CR Categories and Subject Descriptors: I.3.3 [Computer Graphics ]: Picture/Ima...

We demonstrate a physically-based technique for producing draping simulations of a variety of woven fabrics. Our approach employs an interacting-particle model which is based on the microstructure of woven cloth, rather than utilizing a continuum approximation. Empirical data from a fabric testing device is used to tune energy functions within the model. We describe the model, how we convert the fabric test data to energy functions, and two experiments conducted to evaluate the approach. The first experiment produces non-linear mechanical data from the model. The second experiment compares photographs of three different types of draping cloth with visualizations of simulation results. The experiments show that we are able to reliably recover quantitative mechanical information from the model, and to reproduce the unique largescale draping characteristics of a range of fabric types. iii 1 Introduction The drape of woven materials has intrigued humans for centuries. This is evident in...

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Vector field visualization is an important topic in scientific visualization. Its aim is to graphically represent field data in an intuitively understandable and precise way. Here a new approach based on anisotropic nonlinear diffusion is introduced. It enables an easy perception of flow data and serves as an appropriate scale space method for the visualization of complicated flow pattern. The approach is closely related to nonlinear diffusion methods in image analysis where images are smoothed while still retaining and enhancing edges. Here an initial noisy image is smoothed along streamlines, whereas the image is sharpened in the orthogonal direction. The method is based on a continuous model and requires the solution of a parabolic PDE problem. It is discretized only in the final implementational step. Therefore, many important qualitative aspects can already be discussed on a continuous level. Applications are shown in 2D and 3D and the provisions for flow segmentation are outlined.

This paper presents the benefits, conceptual design, issues and the directions of spray rendering.

This paper describes three alternative approaches to visualizing computational fluid dynam- ics (CFD) data. One new approach uses realistic volumetric gas rendering techniques to produce photo-realistic images and animations from CFD data. The second uses ray casting that is based on a simpler illumination model and is mainly centered around a versatile new tool for the design of transfer functions. The third method employs a simple illumination model and rapid rendering mechanisms to provide ecient preview capabilities. These tools provide a large range of rendering capabilities to be used by the CFD explorer to render rapidly for navigation through the data, to emphasize data features (e.g., shock waves) with a specific transfer function, or to present a realistic rendition of the model.