Early visual processing for pattern recognition in natural environments

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In this article, the performance of hierarchical architectures for computer vision of biological inspiration is analyzed. In particular, the role of the lateral geniculate nucleus (LGN) for the robustness in the recognition of ring shaped patterns under gradual changes in illumination was analyzed....

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Detalles Bibliográficos
Autor principal:	Matuk Herrera, R.
Formato:	Artículo publishedVersion
Lenguaje:	Inglés
Publicado:	2012
Materias:	Gradual changes Hierarchical architectures Lateral geniculate nucleus Natural environments Ring-shaped pattern Visual-processing Image analysis Computer vision
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p543_MatukHerrera
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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spelling	paperaa:paper_03029743_v7441LNCS_n_p543_MatukHerrera2023-06-12T16:47:23Z Early visual processing for pattern recognition in natural environments Lect. Notes Comput. Sci. 2012;7441 LNCS:543-550 Matuk Herrera, R. Gradual changes Hierarchical architectures Lateral geniculate nucleus Natural environments Ring-shaped pattern Visual-processing Image analysis Computer vision In this article, the performance of hierarchical architectures for computer vision of biological inspiration is analyzed. In particular, the role of the lateral geniculate nucleus (LGN) for the robustness in the recognition of ring shaped patterns under gradual changes in illumination was analyzed. Changes in illumination are common in everyday environments and thus, it is a crucial factor to be considered for the recognition of objects in everyday environments. © 2012 Springer-Verlag. Fil:Matuk Herrera, R. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p543_MatukHerrera
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language	Inglés
orig_language_str_mv	eng
topic	Gradual changes Hierarchical architectures Lateral geniculate nucleus Natural environments Ring-shaped pattern Visual-processing Image analysis Computer vision
spellingShingle	Gradual changes Hierarchical architectures Lateral geniculate nucleus Natural environments Ring-shaped pattern Visual-processing Image analysis Computer vision Matuk Herrera, R. Early visual processing for pattern recognition in natural environments
topic_facet	Gradual changes Hierarchical architectures Lateral geniculate nucleus Natural environments Ring-shaped pattern Visual-processing Image analysis Computer vision
description	In this article, the performance of hierarchical architectures for computer vision of biological inspiration is analyzed. In particular, the role of the lateral geniculate nucleus (LGN) for the robustness in the recognition of ring shaped patterns under gradual changes in illumination was analyzed. Changes in illumination are common in everyday environments and thus, it is a crucial factor to be considered for the recognition of objects in everyday environments. © 2012 Springer-Verlag.
format	Artículo Artículo publishedVersion
author	Matuk Herrera, R.
author_facet	Matuk Herrera, R.
author_sort	Matuk Herrera, R.
title	Early visual processing for pattern recognition in natural environments
title_short	Early visual processing for pattern recognition in natural environments
title_full	Early visual processing for pattern recognition in natural environments
title_fullStr	Early visual processing for pattern recognition in natural environments
title_full_unstemmed	Early visual processing for pattern recognition in natural environments
title_sort	early visual processing for pattern recognition in natural environments
publishDate	2012
url	http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p543_MatukHerrera
work_keys_str_mv	AT matukherrerar earlyvisualprocessingforpatternrecognitioninnaturalenvironments
_version_	1769810391371612160

Early visual processing for pattern recognition in natural environments

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