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Affine invariant Harris-Bessel interest point detector

Affine invariant Harris-Bessel interest point detector
Affine invariant Harris-Bessel interest point detector
An affine invariant interest point detector named here as Harris-Bessel detector employing Bessel filters is proposed in this paper. The Harris-Bessel detector is applied on the images a well-known database in the literature. Our numerical results indicate that this detector is competitive and has better repeatability and localization measures than those of the affine invariant Harris-Laplace interest point detector. We also numerically demonstrate in this paper that the Harris-Bessel detector is affine invariant and is in average 450 times faster than the affine invariant Harris-Laplace detector for the images of the database.
367-375
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Saba, Nasim
d53a301a-db19-47f0-a346-6b6a635e01c1
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Saba, Nasim
d53a301a-db19-47f0-a346-6b6a635e01c1

Mahmoodi, Sasan and Saba, Nasim (2014) Affine invariant Harris-Bessel interest point detector. Advances in Visual Computing. pp. 367-375 . (doi:10.1007/978-3-319-14364-4_35).

Record type: Conference or Workshop Item (Paper)

Abstract

An affine invariant interest point detector named here as Harris-Bessel detector employing Bessel filters is proposed in this paper. The Harris-Bessel detector is applied on the images a well-known database in the literature. Our numerical results indicate that this detector is competitive and has better repeatability and localization measures than those of the affine invariant Harris-Laplace interest point detector. We also numerically demonstrate in this paper that the Harris-Bessel detector is affine invariant and is in average 450 times faster than the affine invariant Harris-Laplace detector for the images of the database.

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Published date: 2014
Venue - Dates: Advances in Visual Computing, 2014-01-01
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 369923
URI: http://eprints.soton.ac.uk/id/eprint/369923
PURE UUID: 969a081d-071b-40bd-965a-7315a47ddad3

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Date deposited: 08 Oct 2014 15:53
Last modified: 14 Mar 2024 18:10

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Contributors

Author: Sasan Mahmoodi
Author: Nasim Saba

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