Flow visualisation is an attractive topic in data visualisation, offering great challenges for
research. Very large data sets must be processed, consisting of multivariate data at large …

Vortices are commonly understood as rotating motions in fluid flows. The analysis of vortices
plays an important role in numerous scientific applications, such as in engineering …

We introduce, analyze and quantitatively compare a number of surface simplification
methods for point-sampled geometry. We have implemented incremental and hierarchical …

We present two techniques for vortex detection in 2D velocity fields, based on the
macroscopic geometric properties of streamlines. The methods do not depend on the local …

In general, a feature can be defined as a pattern occurring in a dataset that is the
manifestation of correlations among various components of the data. For many features that …

Flow visualization research has made rapid advances in recent years, especially in the area
of topology-based flow visualization. The ever increasing size of scientific data sets favors …

This paper presents a method for filtered ridge extraction based on adaptive mesh
refinement. It is applicable in situations where the underlying scalar field can be refined …

We present a particle system for interactive visualization of steady 3D flow fields on uniform
grids. For the amount of particles we target, particle integration needs to be accelerated and …

Image processing and computer vision have robust methods for feature extraction and the
computation of derivatives of scalar fields. Furthermore, interpolation and the effects of …

In flow visualization, vortex extraction is a long-standing and unsolved problem. For
decades, scientists developed numerous definitions that characterize vortex regions and …