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Towards Topological Analysis of Non-symmetric Tensor Fields via Complexification

  • Fields of asymmetric tensors play an important role in many applications such as medical imaging (diffusion tensor magnetic resonance imaging), physics, and civil engineering (for example Cauchy-Green-deformation tensor, strain tensor with local rotations, etc.). However, such asymmetric tensors are usually symmetrized and then further processed. Using this procedure results in a loss of information. A new method for the processing of asymmetric tensor fields is proposed restricting our attention to tensors of second-order given by a 2x2 array or matrix with real entries. This is achieved by a transformation resulting in Hermitian matrices that have an eigendecomposition similar to symmetric matrices. With this new idea numerical results for real-world data arising from a deformation of an object by external forces are given. It is shown that the asymmetric part indeed contains valuable information.

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Metadaten
Author:Bernhard Burgeth, Andreas KleefeldORCiD, Eugene Zhang, Yue Zhang
DOI:https://doi.org/10.1007/978-3-031-19897-7_5
ISBN:978-3-031-19897-7
Parent Title (English):Discrete Geometry and Mathematical Morphology
Publisher:Springer
Place of publication:Cham
Editor:Étienne Baudrier, Benoît Naegel, Adrien Krähenbühl, Mohamed Tajine
Document Type:Conference Proceeding
Language:English
Year of Completion:2022
Date of first Publication:2022/10/20
Date of the Publication (Server):2024/07/10
First Page:48
Last Page:59
Note:
Second International Joint Conference, DGMM 2022, Strasbourg, France, October 24–27, 2022
Note:
Corresponding author: Andreas Kleefeld
Link:https://doi.org/10.1007/978-3-031-19897-7_5
Zugriffsart:campus
Institutes:FH Aachen / Fachbereich Medizintechnik und Technomathematik
collections:Verlag / Springer
Licence (German): Urheberrechtlich geschützt