Volume Rendering and Data Feature Enhancement
This paper describes a visualization model for 3D scalar data fields based on linear transport theory. The concept of “virtual” particles for the extraction of information from data fields is introduced. The role of different types of interaction of the data field with those particles such as absorption, scattering, source and colour shift are discussed and demonstrated.
Special attention is given to possible tools for the enhancement of interesting data features. Random texturing can provide visual insights as to the magnitude and distribution of deviations of related data fields, e.g., originating from analytic models and measurements, or in the noise content of a given data field. Hidden symmetries of a data set can often be identified visually by allowing it to interact with a preselected beam of “physical” particles with the attendant appearance of characteristic structural effects such as channeling.
KeywordsData Field Computer Graphic Test Particle Volume Density Volume Rendering
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