EAN: 9783031014765

SYNTHESIS LECTURES ON VISUALIZATION INTERACTI...

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. This book covers direct particle visualization using simple glyphs as well as
abstractions that are application-driven such as clustering and aggregation. It targets
visualization researchers and developers who are interested in visualization techniques for
large  dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for
high-performance rendering and data processing that run in real-time on modern desktop
hardware. Consequently  the implementation of said algorithms and the required data structures
to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore 
it covers GPU-accelerated methods for the generation of application-dependent abstract
representations. This includes various representations commonly used in application areas such
as structural biology  systems biology  thermodynamics  and astrophysics.

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