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Название: Interactive GPU-based Visualization of Large Dynamic Particle Data
Автор: Martin Falk and Sebastian Grottel
Издательство: Morgan & Claypool
Год: 2016
Формат: PDF
Размер: 3,7 Мб
Язык: английский / English
Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data.
Автор: Martin Falk and Sebastian Grottel
Издательство: Morgan & Claypool
Год: 2016
Формат: PDF
Размер: 3,7 Мб
Язык: английский / English
Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data.