Volume visualization at the center for supercomputing research and development

Shirley, Peter; Neeman, Henry

doi:10.1145/329129.329139

Cited by 25 publications

(6 citation statements)

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“…To generate directly rendered images of f, two basic methods have been used : ray tracing[Bli82, K1184, Lev88, Sab88 , f' N88, SN89] and direct projection [FGR85, LGLD86, UK88 , DC1188, AVes90] . Upson and Keeler discuss the relative merits of ray tracing and direct cell projection in their V-buffe r paper [UK88] .…”

Section: Introductionmentioning

confidence: 99%

A polygonal approximation to direct scalar volume rendering

ShirleyPeter

TuchmanAllan

1990

SIGGRAPH Comput. Graph.

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171

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Abstrac tOne method of directly rendering a three-dimensional volume of scalar data is to project each cell in a volume ont o the screen . Rasterizing a volume cell is more complex tha n rasterizing a polygon . A method is presented that approximates tetrahedral volume cells with hardware renderabl e transparent triangles . This method produces results wliiel i are visually similar to more exact methods for scalar volum e rendering, but. is faster and has smaller memory requirements . The method is best suited for display of smoot hlychanging data .

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Section: Introductionmentioning

confidence: 99%

A polygonal approximation to direct scalar volume rendering

ShirleyPeter

TuchmanAllan

1990

SIGGRAPH Comput. Graph.

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171

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“…This produces "corkscrews" wherever the fluid is rotating strongly about an axis defined by the local velocity. Shirley and Neeman [1989] constructed ribbons by advecting three particles, one to trace the central spine and two others to form the edges. Belie [1985Belie [ ,1987 depicted flow field rotation by computing pairs of streamlines from nearby starting positions.…”

Section: Ribbonsmentioning

confidence: 99%

Interactive numerical flow visualization using stream surfaces

Hultquist

1990

Computing Systems in Engineering

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Interactive Numerical Flow Visualization Using Stream Surfaces(Under the direction of Frederick P. Brooks, Jr.)Three-dimensional steady fluid flows are often numerically simulated over multiple overlapping curvilinear arrays of sample points. Such flows are often visualized using tangent curves or streamlines computed through the interpolated velocity field.A stream surface is the locus of an infinite number of streamlines rooted at all points along a short line segment or rake. Stream surfaces can depict the structure of a flow field more effectively than is possible with mere streamline curves, but careful placement of the rakes is needed to most effectively depict the important features of the flow. I have built visualization software which supports the interactive calculation and display of stream surfaces in flow fields represented on composite curvilinear grids. This software exploits several novel methods to improve the speed with which a particle may be advected through a vector field. This is combined with a new algorithm which constructs adaptively sampled polygonal models of stream surfaces.These new methods make stream surfaces a viable tool for interactive numerical flow visualization. Software based ori these methods has been used by scientists at the 1.1.3Numerical Flow Visualization . . 185 Table 3.1 Relative performance of four differencing methods. 75 Table 3.2 Performance of mixed-spaced streamline computation .. 89 LIST OF TABLES COMPUTATIONAL FLUID DYNAMICSThe study of fluid flow is typically comprised of three phases: the construction of a grid of node points, the calculation of the flow field sample values at these points, and the post-process visualization of the resulting data. The requirements of the first two tasks motivate the use of unusual data structures, which pose difficulty for the interactive visualization of the results. Grid GenerationThe flow simulation effort begins with a description of the surface of an object, usually by a sequence of digitized cross-sections or a collection of surface spline patches. The object may be as simple as a sphere or as intricate as the Space ShuttleOrbiter with solid rocket boosters, external fuel tank, and interconnection hardware [Pearce et al. 1993]. Some volume surrounding the object is then tessellated into cells. These cells are small enough that the flow field may be expected to vary only slightly through each one. The partial differential equations which govern fluid flow are then discretized and numerically solved over the collection of points which are the vertices of these cells.In Finite Element Analysis, the cells of an unstructured computational grid may have a variety of shapes and each node point may be shared by any number of cells. These general cells can be easily positioned around intricate domain boundaries, but this generality requires increased bookkeeping during the simulation follow the curved contours of the vehicle surface. As a result, the six faces of each cell are not planar, but are instead...

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“…This generalization must not be confused with hybrid techniques, where direct volume rendering is applied to a scalar field, and where indirect volume rendering is applied to show, for example, flow ribbons extracted from a vector field. 7 This paper presents a computational model for direct volume rendering of multiple scalar fields, that is, a tuple of n scalar values {sl, s2, ..., s, } defined at discrete points (xi, yj, z k ) on a three-dimensional grid where i, j , k denote indices. The goal has been to enable holistic display of all the information in the scalar fields by drawing semitransparent objects.…”

Section: Introductionmentioning

confidence: 99%

Direct volume rendering of multiple scalar fields

Giertsen

1994

J. Visual. Comput. Animat.

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Rendering of volume data without forming geometric objects is often termed direct volume rendering. Most of the previously developed methods for this purpose are restricted to display of one scalar variable. This paper presents methods for direct volume rendering of several scalar variables defined at discrete points in three-dimensional space. Typical requirements for the rendering of such data are proposed and then used as a basis for the derivation of a computational model. The proposed model uses a classification technique to composite specific types of information from different scalar fields. The visual display of the composite information is controHed through a set of rendering parameters. KEY WORDS

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Volume visualization at the center for supercomputing research and development

Cited by 25 publications

References 0 publications

A polygonal approximation to direct scalar volume rendering

A polygonal approximation to direct scalar volume rendering

Interactive numerical flow visualization using stream surfaces

Direct volume rendering of multiple scalar fields

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