Sets of Globally Optimal Stream Surfaces for Flow Visualization. (June 2014)

• Record Type: Journal Article
• Authors: Schulze, M.; Esturo, J. Martinez; Günther, T.; Rössl, C.; Seidel, H.‐P.; Weinkauf, T.; Theisel, H.
• Is Part Of: Computer graphics forum. Volume 33:Number 3(2014)
• Page Start: 1
• Page End: 10
• Publication Date: 2014-06
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12356
• Languages: English
• ISSNs: 0167-7055

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>Stream surfaces are a well‐studied and widely used tool for the visualization of 3D flow fields. Usually, stream surface seeding is carried out manually in time‐consuming trial and error procedures. Only recently automatic selection methods were proposed. Local methods support the selection of a set of stream surfaces, but, contrary to global selection methods, they evaluate only the <italic>quality</italic> of the seeding lines but not the quality of the whole stream surfaces. Global methods, on the other hand, only support the selection of a <italic>single</italic> optimal stream surface until now. However, for certain flow fields a single stream surface is not sufficient to represent all flow features.</p> <p>In our work, we overcome this limitation by introducing a global selection technique for a <italic>set</italic> of stream surfaces. All selected surfaces optimize global stream surface quality measures and are guaranteed to be mutually distant, such that they can convey different flow features. Our approach is an efficient extension of the most recent global selection method for single stream surfaces. We illustrate its effectiveness on a number of analytical and simulated flow fields and analyze the quality of the results in a user study.</p> </abstract>