Scalable self-orienting surfaces: a compact, texture-enhanced representation for interactive visualization of 3D vector fields

This paper presents a study of field line visualization techniques. To address both the computational and perceptual issues in visualizing large scale, complex, dense field line data commonly found in many scientific applications, a new texture-based field line representation which we call self-orie...

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Bibliographic Details
Main Authors: Schussman, G., Kwan-Liu Ma
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Concurrent computing
Convergence
Data visualization
Fluid flow
Humans
Physics computing
Streaming media
Surface texture
Visual perception
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Summary:This paper presents a study of field line visualization techniques. To address both the computational and perceptual issues in visualizing large scale, complex, dense field line data commonly found in many scientific applications, a new texture-based field line representation which we call self-orienting surfaces is introduced This scalable representation facilitates hardware-accelerated rendering and incorporation of various perceptually-effective techniques, resulting in intuitive visualization and interpretation of the data under study. An electromagnetic data set obtained from accelerator modeling and a fluid flow data set from aerodynamics modeling are used for evaluation and demonstration of the techniques.
DOI:10.1109/PCCGA.2002.1167879