A survey on visualization of tensor field View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03-22

AUTHORS

Chongke Bi, Lu Yang, Yulin Duan, Yun Shi

ABSTRACT

Tensor field has been widely used in various applications, such as medical imaging, industrial manufacturing, high-dimensional data analysis, and so forth. However, it is a challenging task to understand tensor field intuitively. Therefore, tensor field visualization has become an important research topic. In this survey, we present a comprehensive survey for two kinds of visualization methods for tensor fields: glyphs and streamlines. For glyphs, the eigenvalues of tensor fields will be used to classify existing visualization methods. There are mainly three types of eigenvalues: diffusion tensor fields with all positive real eigenvalues; the tensor field with negative real eigenvalues; the tensor field with imaginary eigenvalues. The methods showing the difference between two tensors (glyphs) are also introduced. For streamlines, there are mainly three important issues: the selection of seed points (streamlines), interpolation of tensor fields, the singularity problem around isotropic tensors. Finally, we discuss challenges and open questions for future studies. More... »

PAGES

1-20

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12650-019-00555-8

DOI

http://dx.doi.org/10.1007/s12650-019-00555-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112948763


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