Hypercomplex moments application in invariant image recognition / Labunets VG,Labunets EV,Egiazarian K,Astola J // . - 1998. - V. , l. . - P. 257-261.

ISSN/EISSN:

нет данных / нет данных

Type:

Proceedings Paper

Abstract:

Moment invariants have found many applications in pattern recognition. The main difficulty in the application of moment invariants is their computation. The presented paper is devoted to elaboration of new methods of image invariant recognition in Euclidean and non-Euclidean 2-, 3 and n-dimensional spaces, based on the theory of Clifford hypercomplex numbers that allow to work out efficient algorithms. Algebraic invariant pattern recognition have been discussed in the literature, however the Clifford algebra based method allows a more elegant reformulation providing greater geometrical insight.

Author keywords:

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DOI:

нет данных

Web of Science ID:

ISI:000076643100054

Соавторы в МНС:

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Другие поля

Поле	Значение
Book-Group-Author	IEEE IEEE
Booktitle	1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 2
Note	IEEE International Conference on Image Processing, CHICAGO, IL, OCT 04-07, 1998
Organization	IEEE, Signal Proc Soc
Publisher	IEEE COMPUTER SOC
Address	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
Language	English
ISBN	0-8186-8821-1
Research-Areas	Engineering
Web-of-Science-Categories	Engineering, Electrical \& Electronic
ResearcherID-Numbers	Eguiazarian, Karen/G-4299-2014 Astola, Jaakko/G-4297-2014
ORCID-Numbers	Eguiazarian, Karen/0000-0003-4774-1773
Doc-Delivery-Number	BL76C