Improving the Hough Transform gathering process for affine transformations
Improving the Hough Transform gathering process for affine transformations
In this paper, we show that significant wrong evidence can be generated when the Hough Transform (HT) is used to extract arbitrary shapes under rigid transformations. In order to reduce the amount of wrong evidence, we consider two types of constraints. First, we define constraints by considering invariant features. Secondly, we consider constraints defined via gradient direction information. Our results show that these constraints can significantly improve the gathering strategy, leading to identification of the correct parameters. The presented formulation is valid for any rigid transformations represented by affine mappings.
959-969
Aguado, Alberto S.
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Montiel, Maria E.
cfc02323-e956-42c8-aedc-346e177ce391
Nixon, Mark S.
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July 2001
Aguado, Alberto S.
a61a53d9-fa7e-41c8-969f-abd1375ffe3c
Montiel, Maria E.
cfc02323-e956-42c8-aedc-346e177ce391
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Aguado, Alberto S., Montiel, Maria E. and Nixon, Mark S.
(2001)
Improving the Hough Transform gathering process for affine transformations.
Pattern Recognition Letters, 22 (9), .
Abstract
In this paper, we show that significant wrong evidence can be generated when the Hough Transform (HT) is used to extract arbitrary shapes under rigid transformations. In order to reduce the amount of wrong evidence, we consider two types of constraints. First, we define constraints by considering invariant features. Secondly, we consider constraints defined via gradient direction information. Our results show that these constraints can significantly improve the gathering strategy, leading to identification of the correct parameters. The presented formulation is valid for any rigid transformations represented by affine mappings.
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alberto_prl_01.pdf
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Published date: July 2001
Organisations:
Southampton Wireless Group
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Local EPrints ID: 255992
URI: http://eprints.soton.ac.uk/id/eprint/255992
PURE UUID: 0addb74c-a33c-4da7-b871-7742484d1532
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Date deposited: 26 Jul 2001
Last modified: 15 Mar 2024 02:34
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Author:
Alberto S. Aguado
Author:
Maria E. Montiel
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