Correlation based rotation-invariant corner detector

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In this work we introduce a new approach for corner extraction. The method that allows the corner extraction with rotation invariance is composed by a spiral phase function and a binary amplitude. The designed function can be easily implemented as a filter for a Vander Lugt-like optical correlator....

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Detalles Bibliográficos
Autores principales:	Mazzaferri, J., Ledesma, S.
Formato:	CONF
Materias:	Feature extraction Fourier optics Image processing
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_0094243X_v992_n_p1057_Mazzaferri
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_0094243X_v992_n_p1057_Mazzaferri
record_format	dspace
spelling	todo:paper_0094243X_v992_n_p1057_Mazzaferri2023-10-03T14:56:20Z Correlation based rotation-invariant corner detector Mazzaferri, J. Ledesma, S. Feature extraction Fourier optics Image processing In this work we introduce a new approach for corner extraction. The method that allows the corner extraction with rotation invariance is composed by a spiral phase function and a binary amplitude. The designed function can be easily implemented as a filter for a Vander Lugt-like optical correlator. A final image obtained with the detector presents intensity peaks in each corner location. Numerical simulation has been performed on a set of synthetic scenes, modulated either in amplitude or phase. Results that show the very good performance of the method are shown. © 2008 American Institute of Physics. Fil:Mazzaferri, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ledesma, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0094243X_v992_n_p1057_Mazzaferri
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Feature extraction Fourier optics Image processing
spellingShingle	Feature extraction Fourier optics Image processing Mazzaferri, J. Ledesma, S. Correlation based rotation-invariant corner detector
topic_facet	Feature extraction Fourier optics Image processing
description	In this work we introduce a new approach for corner extraction. The method that allows the corner extraction with rotation invariance is composed by a spiral phase function and a binary amplitude. The designed function can be easily implemented as a filter for a Vander Lugt-like optical correlator. A final image obtained with the detector presents intensity peaks in each corner location. Numerical simulation has been performed on a set of synthetic scenes, modulated either in amplitude or phase. Results that show the very good performance of the method are shown. © 2008 American Institute of Physics.
format	CONF
author	Mazzaferri, J. Ledesma, S.
author_facet	Mazzaferri, J. Ledesma, S.
author_sort	Mazzaferri, J.
title	Correlation based rotation-invariant corner detector
title_short	Correlation based rotation-invariant corner detector
title_full	Correlation based rotation-invariant corner detector
title_fullStr	Correlation based rotation-invariant corner detector
title_full_unstemmed	Correlation based rotation-invariant corner detector
title_sort	correlation based rotation-invariant corner detector
url	http://hdl.handle.net/20.500.12110/paper_0094243X_v992_n_p1057_Mazzaferri
work_keys_str_mv	AT mazzaferrij correlationbasedrotationinvariantcornerdetector AT ledesmas correlationbasedrotationinvariantcornerdetector
_version_	1807319918390018048

Correlation based rotation-invariant corner detector

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