Clustering applied to unsteady flow fields can simplify flow field data and partition the flow
field into regions of interest. Unfortunately, these areas are often unexplored when applied …

Cycle-to-cycle variations in an optically accessible four-stroke direct injection spark-ignition
gasoline engine are investigated using high-speed scanning particle image velocimetry and …

In this paper, we revisit the Lagrangian accumulation process that aggregates the local
attribute information along integral curves for vector field visualization. Similar to the …

The extraction of singular patterns is a fundamental problem in theoretical and practical
domains due to the ability of such patterns to detect the intrinsic characteristics of vector …

In this paper, we present a flow field partition method that extracts the key features, which
are the spatial and temporal variation of the flow field. The partition method is developed …

While vector fields are essential to simulate a large amount of natural phenomena, the
difficulty to identify patterns and predict behaviors makes the visual segmentation in …

Recent developments in fluid dynamics research have opened up the possibility for the
detailed quantitative understanding of unsteady flow fields. However, the visualization …

We introduce a new technique to visualize complex flowing phenomena by using concepts
from shape analysis. Our approach uses techniques that examine the intrinsic geometry of …