Tensor Visualization and Defect Detection for Nematic Liquid Crystals Using Shape Characteristics
Chapter
In Visualization and Processing of Tensor Fields, David H. Laidlaw and Joachim Weickert, eds., Springer (in press).
Abstract
Two alternate sets of tensor shape characteristics are introduced for the study of nematic liquid crystals (NLCs), a little studied problem in tensor visualization. One set of characteristics are based on the physics of the liquid crystal system (a real, symmetric, traceless tensor); the other set is an application of the well known Westin DT-MRI shape characteristics. These shape metrics are used both for direct tensor visualization and for detection of defects within the liquid crystal matrix.
Copyright
Springer
BibTeX Citation
@incollection{Jankun-Kelly:2009:TVa,
Author = {T.J. Jankun-Kelly and Song Zhang and A.C. Callan-Jones and Robert A. Pelcovits and V.A. Slavin and David H. Laidlaw},
Title = {Tensor Visualization and Defect Detection for Nematic Liquid Crystals Using Shape Characteristics},
Keywords = {scientific visualization, tensor visualization, nematic liquid crystals},
Year = {2009},
Editor = {David H. Laidlaw and Jaochim Weickert},
Booktitle = {Visualization and Processing of Tensor Fields},
Publisher = {Springer},
}
Contact
Dr. T.J. Jankun-Kelly [tjk@acm.org], Department of Computer Science and Engineering, Mississippi State University
