Flow visualization is essentially a tool to answer domain experts' questions about flow fields
using rendered images. Static flow visualization approaches require domain experts to raise …

Unsupervised clustering techniques have been widely applied to flow simulation data to
alleviate clutter and occlusion in the resulting visualization. However, there is an absence of …

Exploring flow features and patterns hidden behind the data has received extensive
academic attention in flow visualization. In this paper, we introduce an importance-guided …

The high-resolution scanning devices developed in recent decades provide biomedical
volume datasets that support the study of molecular structure and drug design. Isosurface …

Most existing unsteady flow visualization techniques concentrate on the depiction of
geometric patterns in flow, assuming the geometry information provides sufficient …

A system includes a processor and a memory storing program instructions. The instructions
are executable by the processor to generate a first image file representing a thermal image …

Integral curves have been widely used to represent and analyze various vector fields. In this
paper, we propose a Curve Segment Neighborhood Graph (CSNG) to capture the …

We design a number of distance metrics with linear-complexity based on the geometric and
statistic properties of 3D curves, and apply them to classify streamlines and the trajectories …

Described herein are systems and computer-implemented methods for controlling a gain
state of a thermal camera. According to an example method, a processor can obtain, from a …

An embodiment includes capturing, via a first camera, a first image having a first pixel
density, a pixel of the first image corresponding to the first optical axis is substantially …