
Detection and Visualization of Defects in 3D Unstructured Models of Nematic Liquid Crystals
IEEE Transactions on Visualization and Computer Graphics, Alex Pang, Eduard Gröller, and Cláudio Silva, eds., 2006 (to appear).
Abstract
A method for the semi-automatic detection and visualization of defects in models of nematic liquid crystals (NLCs) is introduced; this method is suitable for unstructured models, a previously unsolved problem. The detected defects—also known as disclinations—are regions were the alignment of the liquid crystal rapidly changes over space; these defects play a large role in the physical behavior of the NLC substrate. Defect detection is based upon a measure of total angular change of crystal orientation (the director) over a node neighborhood via the use of a nearest neighbor path. Visualizations based upon the detection algorithm clearly identifies complete defect regions as opposed to incomplete visual descriptions provided by cutting-plane and isosurface approaches. The introduced techniques are currently in use by scientists studying the dynamics of defect change.
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Copyright
Copyright 2006, IEEE
Affiliated Projects
Nematic Liquid Crystal Visualization
BibTeX Citation
@article{Mehta:2006:DaV,
Author = {Ketan Mehta AND T.J. Jankun-Kelly},
Title = {Detection and Visualization of Defects in 3D Unstructured Models of Nematic Liquid Crystals},
Abstract = {A method for the semi-automatic detection and visualization of defects in models of nematic liquid crystals (NLCs) is introduced; this method is suitable for unstructured models, a previously unsolved problem. The detected defects---also known as disclinations---are regions were the alignment of the liquid crystal rapidly changes over space; these defects play a large role in the physical behavior of the NLC substrate. Defect detection is based upon a measure of total angular change of crystal orientation (the director) over a node neighborhood via the use of a nearest neighbor path. Visualizations based upon the detection algorithm clearly identifies complete defect regions as opposed to incomplete visual descriptions provided by cutting-plane and isosurface approaches. The introduced techniques are currently in use by scientists studying the dynamics of defect change.},
Keywords = {scientific visualization, disclination, nematic liquid crystal, defects, unstructured grid, feature extraction},
Pages = {},
Year = {2006}
Journal = {IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization/Information Visualization 2006)},
Volume = {12},
Number = {5},
Month = {September/October},
}
Contact
Dr. T.J. Jankun-Kelly [tjk@cse.msstate.edu], Department of
Computer Science and Engineering, Mississippi State University.