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Orientation fields filtering by derivatives of a Gaussian
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0002-4929-1262
TietoEnator ArosTech, Linköping, Sweden.
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
2003 (engelsk)Inngår i: Proceedings of the 13th Scandinavian Conference on Image Analysis (SCIA 2003), Halmstad, Sweden, Date: jun 29-jul 02, 2003, Berlin: Springer Berlin/Heidelberg, 2003, Vol. LNCS-2749, s. 19-27Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

We suggest a set of complex differential operators, symmetry derivatives, that can be used for matching and pattern recognition. We present results on the invariance properties of these. These show that all orders of symmetry derivatives of Gaussians yield a remarkable invariance : they are obtained by replacing the original differential polynomial with the same polynomial but using ordinary scalars. Moreover, these functions are closed under convolution and they are invariant to the Fourier transform. The revealed properties have practical consequences for local orientation based feature extraction. This is shown by two applications: i) tracking markers in vehicle tests ii) alignment of fingerprints.

sted, utgiver, år, opplag, sider
Berlin: Springer Berlin/Heidelberg, 2003. Vol. LNCS-2749, s. 19-27
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 2749
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-14917DOI: 10.1007/3-540-45103-X_4ISI: 000185178400004Scopus ID: 2-s2.0-35248859353ISBN: 978-3-540-40601-3 ISBN: 978-3-540-45103-7 OAI: oai:DiVA.org:hh-14917DiVA, id: diva2:408404
Konferanse
13th Scandinavian Conference on Image Analysis (SCIA 2003), Halmstad, Sweden, Date: jun 29-jul 02, 2003
Tilgjengelig fra: 2011-04-04 Laget: 2011-04-04 Sist oppdatert: 2018-03-23bibliografisk kontrollert

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