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

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2 Author(s)
Schussman, G. ; Center for Image Process. & Integrated Comput. (CIPIC), California Univ., Davis, CA, USA ; Kwan-Liu Ma

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.

Published in:

Computer Graphics and Applications, 2002. Proceedings. 10th Pacific Conference on

Date of Conference:

2002