Tensors provide a powerful language to describe physical phenomena. Consequently, they
have a long tradition in physics and appear in various application areas, either as the final …

Modern diffusion magnetic resonance imaging (dMRI) acquires intricate volume datasets
and biological meaning can only be found in the relationship between its different …

Particle systems have gained importance as a methodology for sampling implicit surfaces
and segmented objects to improve mesh generation and shape analysis. We propose that …

Crease surfaces are two-dimensional manifolds along which a scalar field assumes a local
maximum (ridge) or a local minimum (valley) in a constrained space. Unlike isosurfaces …

Many algorithms for scientific visualization and image analysis are rooted in the world of
continuous scalar, vector, and tensor fields, but are programmed in low-level languages and …

Feature Flow Fields are a well-accepted approach for extracting and tracking features. In
particular, they are often used to track critical points in time-dependent vector fields and to …

Tensor field has been widely used in various applications, such as medical imaging,
industrial manufacturing, high-dimensional data analysis, and so forth. However, it is a …

Three-dimensional symmetric tensor fields have a wide range of applications in solid and
fluid mechanics. Recent advances in the (topological) analysis of 3D symmetric tensor fields …

Given an unstructured point set, we use an MLS (moving least-squares) approximation to
estimate the local curvatures and their derivatives at a point by means of an approximating …

We present a visual approach for the exploration of stress tensor fields. In contrast to
common tensor visualization methods that only provide a single view to the tensor field, we …