Seeding Strategies for Hyperstreamlines
This paper presents two strategies for seeding hyperstreamlines in
3D symmetric tensor fields.
The goal is to automate the process of generating seeding patterns to identify
important hyperstreamline features. The first method is based on topology
analysis of the tensor field to find degenerate regions. Then different seeding
templates can be placed around these degenerate regions and sharp discontinuity
of hyperstreamlines can be avoided. The second method is based on anisotropy
measurements to optimize the seeding positions and density of hyperstreamlines
to reduce visual cluttering. Additionally, user can place random distributed
seeding points in the tensor field to ensure other minor hyperstreamline
features are captured. The main advantage of these approaches is that the
user is not required to have a knowledge of the tensor field in advance.
Download full paper (pdf)
to appear in IASTED Computer Graphics and Imaging (CGIM) 2004.
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