C. Upson. Volumetric Visualization Techniques. In D.F. Rogers and R.A Earnshaw, editors, State of the Art in Computer Graphics, pages 313--350. Spriger Verlag, 1991.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....and attributes can be parametrized and manipulated, and how these parametrizations can be used to automatically generate multiple instances of objects for the visualization and manipulation of large sets of similar data. Upson has composed an overview of different visualization techniques [Ups91] The main topic addressed by Upson is the mapping from the scientific domain into a visual representation, whether it be numerical simulation data or a data set derived from a physical experiment. It is argued that a set of data can be visualized in a variety of ways, using a variety of ....

....Vectors Hedge Hogs Ribbons Tiled Surfaces Stacked Textures Ribbons Volume Rendering Solids Modeling Cuberilles Icons Attribute Mapping Attribute Mapping 1D 2D 3D nD 0D 1D 2D 3D Dimensionality of the Computational Domain Figure 4. 1: The visualization mapping space as given in [Ups91] the mapping from the computational domain into the visualization domain. All visualization techniques shown in figure 4.1 are based on the mapping of geometric primitives and their attributes to data. These primitives range from simple basic elements such as points and lines to more complex ....

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C. Upson. Volumetric visualization techniques. In D.F. Rogers and R.A. Earnshaw, editors, State of the Art in Computer Graphics: Visualization and Modelling, pages 313--358. Springer Verlag, 1991.

....Interactive Visualization Environments 1. INTRODUCTION For many 3D scientific visualization applications it is essential that objects can be rendered transparently. This particularly holds in the area of volume rendering, where volumetric data is rendered by accumulating color and transparency [11]. But also for other applications transparency is a valuable feature, e.g. for the visualization of multiple iso surfaces or overlapping and intersecting discrete objects. Accurate simulation of realistic object transparency including refraction is a difficult and computationally expensive ....

C. Upson. Volumetric visualization techniques. In D.F. Rogers and R.A. Earnshaw, editors, State of the Art in Computer Graphics: Visualization and Modelling, pages 313--358. Springer Verlag, 1991.

....types and the techniques are classified as either discrete or continuous. Upson provides a two dimensional array where one axis represents the dimensionality of the computational domain, the other the dimensionality of the visual representation and the techniques appear as elements in the array[Ups91] Another classification by Hesselink et al. also adds a third attribute, the information level, which indicates whether the information shown at a certain point refers only to the elementary data at that point, whether it refers to some local neighborhood or whether it is global to the whole ....

Craig Upson. Volumetric visualization techniques. In David F. Rogers and Rae A. Earnshaw, editors, State of the Art in Computer Graphics, pages 313 -- 350. Springer-Verlag, New York, 1991.

....which are then rendered into images. Polygonal representation is one of the most popular, since most sophisticated graphics platforms have highly efficient built in hardware for computing the visibility of the individual polygons and for rendering them using various lighting and shading models[2]. Marching Cubes algorithm[3] is a standard approach to extract isosurfaces from the volume data set. Since Marching Cubes is a brute force method, it does have some shortcomings. The cube size must be fixed during the whole marching procedure, so that the surface triangles within one cube can ....

Craig Upson, "Volumetric Visualization Techniques", State of the Art in Computer Graphics, 1991.

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C. Upson. Volumetric Visualization Techniques. In D.F. Rogers and R.A Earnshaw, editors, State of the Art in Computer Graphics, pages 313--350. Spriger Verlag, 1991.

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