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TEMPLATE MATCHING ON VECTOR FIELDS USING CLIFFORD ALGEBRA

  • Due to the amount of flow simulation and measurement data, automatic detection, classification and visualization of features is necessary for an inspection. Therefore, many automated feature detection methods have been developed in recent years. However, only one feature class is visualized afterwards in most cases, and many algorithms have problems in the presence of noise or superpositionDue to the amount of flow simulation and measurement data, automatic detection, classification and visualization of features is necessary for an inspection. Therefore, many automated feature detection methods have been developed in recent years. However, only one feature class is visualized afterwards in most cases, and many algorithms have problems in the presence of noise or superposition effects. In contrast, image processing and computer vision have robust methods for feature extraction and computation of derivatives of scalar fields. Furthermore, interpolation and other filter can be analyzed in detail. An application of these methods to vector fields would provide a solid theoretical basis for feature extraction. The authors suggest Clifford algebra as a mathematical framework for this task. Clifford algebra provides a unified notation for scalars and vectors as well as a multiplication of all basis elements. The Clifford product of two vectors provides the complete geometric information of the relative positions of these vectors. Integration of this product results in Clifford correlation and convolution which can be used for template matching of vector fields. For frequency analysis of vector fields and the behavior of vector-valued filters, a Clifford Fourier transform has been derived for 2D and 3D. Convolution and other theorems have been proved, and fast algorithms for the computation of the Clifford Fourier transform exist. Therefore the computation of Clifford convolution can be accelerated by computing it in Clifford Fourier domain. Clifford convolution and Fourier transform can be used for a thorough analysis and subsequent visualization of flow fields.zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Verfasserangaben: Julia Ebling, G. Scheuermann
DOI (Zitierlink):https://doi.org/10.25643/bauhaus-universitaet.2946Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20170327-29464Zitierlink
URL:http://euklid.bauing.uni-weimar.de/ikm2006/index.php_lang=de&what=papers.html
Herausgeber: Klaus GürlebeckGND, Carsten KönkeORCiDGND
Sprache:Englisch
Datum der Veröffentlichung (online):24.03.2017
Datum der Erstveröffentlichung:14.07.2006
Datum der Freischaltung:27.03.2017
Veröffentlichende Institution:Bauhaus-Universität Weimar
Urhebende Körperschaft:Bauhaus-Universität Weimar
Institute und Partnereinrichtugen:Bauhaus-Universität Weimar / In Zusammenarbeit mit der Bauhaus-Universität Weimar
Seitenzahl:25
GND-Schlagwort:Architektur <Informatik>; CAD; Computerunterstütztes Verfahren
DDC-Klassifikation:500 Naturwissenschaften und Mathematik / 510 Mathematik
BKL-Klassifikation:56 Bauwesen / 56.03 Methoden im Bauingenieurwesen
Sammlungen:Bauhaus-Universität Weimar / Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen, IKM, Weimar / Internationales Kolloquium über Anwendungen der Informatik und Mathematik in Architektur und Bauwesen, IKM, Weimar, 17. 2006
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell (CC BY-NC 4.0)