The analysis of multidimensional time-varying datasets faces challenges, notably regarding
the representation of the data and the visualization of temporal variations. We propose an …

Animation is a potentially powerful instrument to convey complex information with
movements, smooth transitions between different states that employ the strong human …

Abstract 3D animations are an effective method to learn about complex dynamic
phenomena, such as mesoscale biological processes. The animators' goals are to convey a …

Analyzing body movement as a means of expression is of interest in diverse areas, such as
dance, sports, films, as well as anthropology or archaeology. In particular, in choreography …

Due to I/O bandwidth limitations, intelligent in situ data reduction methods are needed to
enable post-hoc workflows. Current state-of-the-art sampling methods save data points if …

We propose a visualization application, designed for the exploration of human spine
simulation data. Our goal is to support research in biomechanical spine simulation and …

We propose an extension of the well-known Space-Time Cube (STC) visualization
technique in order to visualize time-varying 3D spatial data, taking advantage of the …

Abstract Improvements in High-Performance Computing (HPC) has enabled researchers to
develop more sophisticated simulations and applications which solve previously intractable …

We present a novel approach for image deformation and video time warping. Our technique
involves the inversion of the nonlinear regularized Kelvinlet equations, leading to higher …

Abstract Improvements in High-Performance Computing (HPC) has enabled researchers to
develop more sophisticated simulations and applications which solve previously intractable …