SurfPatch: Enabling Patch Matching for Exploratory Stream Surface Visualization

Area of Science:

• Computer Graphics
• Scientific Visualization
• Fluid Dynamics

Background:

• Surface-based flow visualization techniques face significant challenges in placement, speed, perception, and evaluation.
• Existing methods for stream surface analysis are limited in flexibility and granularity.

Purpose of the Study:

• Introduce SurfPatch, a novel framework for exploratory stream surface visualization.
• Address challenges in surface placement and analysis for improved flow data exploration.

Main Methods:

• Translate surface placement to surface selection and trace numerous stream surfaces.
• Employ a three-stage hierarchical process: vertex-level classification, patch-level matching, and surface-level clustering.
• Utilize a bottom-up approach for fine-grained, multiscale patch-level matching.

Main Results:

• SurfPatch provides enhanced flexibility and fine-grained control over stream surface querying.
• The framework supports exploratory visualization and analysis through an intuitive interface.
• Demonstrated effectiveness on stream surfaces from steady and unsteady flows, and isosurfaces.

Conclusions:

• SurfPatch offers a robust and flexible solution for exploratory stream surface visualization.
• The novel framework overcomes limitations of existing surface-level matching techniques.
• Enables comprehensive analysis of complex flow fields across various data types.