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Vector fields are normally the result of computer simulations, or measurements, done in a number of scientific fields. This can be in fluid dynamics, meteorology, medicine, climate modeling and oil exploration, just to mention a few. To be able to understand and interpret these data, we normally need to transform them into images. A good image will hopefully also help us in obtaining new insight into the underlying physics. To display an image of a 2D vector fields is fairly simple. However, meaningful images of 3D fields are much more challenging to produce, as cluttering and occlusion often…mehr

Produktbeschreibung
Vector fields are normally the result of computer simulations, or measurements, done in a number of scientific fields. This can be in fluid dynamics, meteorology, medicine, climate modeling and oil exploration, just to mention a few. To be able to understand and interpret these data, we normally need to transform them into images. A good image will hopefully also help us in obtaining new insight into the underlying physics. To display an image of a 2D vector fields is fairly simple. However, meaningful images of 3D fields are much more challenging to produce, as cluttering and occlusion often obscure important details. In this work we present a techniques that solve some of these issues, and produce high quality images and animations of 2D and 3D vector fields. This is done by solving a partial differential equation (PDE) for anisotropic diffusion, and displaying the results in modern Volume Rendering software.
Autorenporträt
Thomas Elboth received a MS (2005) in applied mathematics from the University of Oslo. Since then ha has been working as a R&D geophysicist with Fugro. Currently he is pursuing a Ph.D at the University of Oslo, working on problems related to noise in marine seismic.