Standard

Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants. / Labunets, Ekaterina V.; Labunets, V.; Assonov, M. et al.
In: IEEE International Conference on Image Processing, Vol. 3, 1996, p. 607-610.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Labunets, EV, Labunets, V, Assonov, M & Lenz, R 1996, 'Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants', IEEE International Conference on Image Processing, vol. 3, pp. 607-610.

APA

Labunets, E. V., Labunets, V., Assonov, M., & Lenz, R. (1996). Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants. IEEE International Conference on Image Processing, 3, 607-610.

Vancouver

Labunets EV, Labunets V, Assonov M, Lenz R. Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants. IEEE International Conference on Image Processing. 1996;3:607-610.

Author

Labunets, Ekaterina V. ; Labunets, V. ; Assonov, M. et al. / Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants. In: IEEE International Conference on Image Processing. 1996 ; Vol. 3. pp. 607-610.

BibTeX

@article{a8ca16dc35b842438457cc5847c8156c,
title = "Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants",
abstract = "We propose in the present paper a new algorithm, which needs almost no multiplication. We propose using modular arithmetic of the finite Galois field GF(Q) to map geometrical moments calculation to a fast Fourier-Mellin-Galois transform, which reduces the computational complexity from O(N4) to O(N2 log2 N). We illustrate the performance of the method by some classification and matching experiments.",
author = "Labunets, {Ekaterina V.} and V. Labunets and M. Assonov and Reiner Lenz",
year = "1996",
language = "English",
volume = "3",
pages = "607--610",
journal = "IEEE International Conference on Image Processing",
issn = "1522-4880",
publisher = "IEEE Computer Society",

}

RIS

TY - JOUR

T1 - Fast spectral algorithms for invariant pattern recognition and image matching based on modular invariants

AU - Labunets, Ekaterina V.

AU - Labunets, V.

AU - Assonov, M.

AU - Lenz, Reiner

PY - 1996

Y1 - 1996

N2 - We propose in the present paper a new algorithm, which needs almost no multiplication. We propose using modular arithmetic of the finite Galois field GF(Q) to map geometrical moments calculation to a fast Fourier-Mellin-Galois transform, which reduces the computational complexity from O(N4) to O(N2 log2 N). We illustrate the performance of the method by some classification and matching experiments.

AB - We propose in the present paper a new algorithm, which needs almost no multiplication. We propose using modular arithmetic of the finite Galois field GF(Q) to map geometrical moments calculation to a fast Fourier-Mellin-Galois transform, which reduces the computational complexity from O(N4) to O(N2 log2 N). We illustrate the performance of the method by some classification and matching experiments.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=0030403822

M3 - Conference article

VL - 3

SP - 607

EP - 610

JO - IEEE International Conference on Image Processing

JF - IEEE International Conference on Image Processing

SN - 1522-4880

ER -

ID: 54138569