As a part of domain-specific development, Domain-Specific Language (DSL) is widely used
in both the academia and industry to solve different aspects of the problems in engineering …

Streamlines are an extensively utilized flow visualization technique for understanding,
verifying, and exploring computational fluid dynamics simulations. One of the major …

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 …

Effective flow feature extraction enables users to explore complex flow fields by reducing
visual clutter. Existing methods usually use streamline segmentation as a preprocessing …

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 …

We present an approach to pattern matching in 3D multi-field scalar data. Existing pattern
matching algorithms work on single scalar or vector fields only, yet many numerical …

Measuring the similarity of integral curves is fundamental to many important flow data
analysis and visualization tasks such as feature detection, pattern querying, streamline …

Visual exploration of flow fields is important for studying dynamic systems. We introduce
semantic flow graph (SFG), a novel graph representation and interaction framework that …

We propose a method that allows users to define flow features in form of patterns
represented as sparse sets of stream line segments. Our approach finds similar occurrences …

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 …