Abstract
Tensors represent a natural means for describing many physical phenomena. Therefore, there is a need to develop methods that will assist in analyzing such data. Despite some calls for generality, we concentrate on quite a specific application because general methods designed for visualizing information contained in second order tensor fields may fail to provide users with some of the features that could be of high importance for them. In the following paragraphs, our approach focused on second order tensor field datasets describing the state of stress in material will be discussed. It is based on the visualization of directional stresses using glyphs as well as surface extraction.
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JIRKA, T. (2006). VISUALIZING DIRECTIONAL STRESSES IN A STRESS TENSOR FIELD. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_69
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DOI: https://doi.org/10.1007/1-4020-4179-9_69
Publisher Name: Springer, Dordrecht
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