Flow visualization has been a very attractive component of scientific visualization research
for a long time. Usually very large multivariate datasets require processing. These datasets …

With ever increasing computing power, it is possible to process ever more complex fluid
simulations. However, a gap between data set sizes and our ability to visualize them …

The paper presents a seed placement strategy for streamlines based on flow features in the
dataset. The primary goal of our seeding strategy is to capture flow patterns in the vicinity of …

Flow visualisation has already been a very attractive part of visualisation research for a long
time. Usually very large data sets need to be processed, which often consist of multivariate …

The paper presents an algorithm, UFLIC (Unsteady Flow LIC), to visualize vector data in
unsteady flow fields. Using line integral convolution (LIC) as the underlying method, a new …

New challenges on vector field visualization emerge as time dependent numerical
simulations become ubiquitous in the field of computational fluid dynamics (CFD). To …

Flow plays a major role in environmental sciences, because many of the Earth's physical
and biological processes involve movement. Yet, there are major differences between …

Line integral convolution (LIC) is an effective technique for visualizing vector fields. The
application of LIC to 3D flow fields has yet been limited by difficulties to efficiently display …

Graphics processing units (GPUs) have been revolutionizing the way computer graphics
and visualization are practiced. Driven by the computer-games industry and its demand for …

In recent years the work on vector field visualization has been concentrated on LIC‐based
methods. In this paper we propose an alternative solution for the visualization of unsteady …