Top Challenges in the Visualization of Engineering Tensor Fields

Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)


In this chapter we summarize the top research challenges in creating successful visualization tools for tensor fields in engineering. The analysis is based on our collective experiences and on discussions with both domain experts and visualization practitioners. We find that creating visualization tools for engineering tensors often involves solving multiple different technical problems at the same time—including visual intuitiveness, scalability, interactivity, providing both detail and context, integration with modeling and simulation, representing uncertainty and managing multi-fields; as well as overcoming terminology barriers and advancing research in the mathematical aspects of tensor field processing. We further note the need for tools and data repositories to encourage faster advances in the field. Our interest in creating and proposing this list is to initiate a discussion about important research issues within the visualization of engineering tensor fields.


Domain Expert Tensor Field Uncertain Data Turbulent Combustion Information Visualization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Grateful acknowledgments to H. Hagen (Kaiserslautern University), S. Levent Yilmaz, Mehdi Nik, Tim Luciani, Adrian Maries and Md. Abedul Haque (Pitt) for gracefully providing several of the images and captions in this chapter, as well as for inspiring discussions. G.E. Marai’s work is partially supported through NSF IIS-0952720 and NSF CBET-1250171.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceLeipzig UniversityLeipzigGermany
  2. 2.German Aerospace CenterBraunschweigGermany
  3. 3.Zuse Institute BerlinBerlinGermany
  4. 4.Robotics InstituteCarnegie Mellon UniversityPittsburghUSA
  5. 5.Department of Medical and Health Sciences (IMH) and Center for Medical Image Science and Visualization (CMIV)Linköping UniversityLinköpingSweden
  6. 6.Chair of Polymer MaterialsSaarland UniversitySaarbrueckenGermany
  7. 7.Department of Electrical Engineering and Computer SciencesCoburg University of Applied SciencesCoburgGermany
  8. 8.School of Electrical Engineering and Computer ScienceOregon State UniversityCorvallisUSA

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