A robust agorithm for eye detection on gray intensity face without spectacles

Autores
Peng, Kun; Chen, Limin; Ruan, Su; Kukharev, Georgy
Año de publicación
2005
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a robust eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, and to overcome their shortcomings. Firstly, after the location of face region is detected, a feature based method will be used to detect two rough regions of both eyes on the face. Then an accurate detection of iris centers will be continued by applying a template based method in these two rough regions. Results of experiments to the faces without spectacles show that the proposed approach is not only robust but also quite efficient.
Facultad de Informática
Materia
Ciencias Informáticas
PATTERN RECOGNITION
IMAGE PROCESSING AND COMPUTER VISION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9584
Acceder
id SEDICI_473d8be431b314021f1cc708d6c37af9
oai_identifier_str oai:sedici.unlp.edu.ar:10915/9584
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A robust agorithm for eye detection on gray intensity face without spectaclesPeng, KunChen, LiminRuan, SuKukharev, GeorgyCiencias InformáticasPATTERN RECOGNITIONIMAGE PROCESSING AND COMPUTER VISIONThis paper presents a robust eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, and to overcome their shortcomings. Firstly, after the location of face region is detected, a feature based method will be used to detect two rough regions of both eyes on the face. Then an accurate detection of iris centers will be continued by applying a template based method in these two rough regions. Results of experiments to the faces without spectacles show that the proposed approach is not only robust but also quite efficient.Facultad de Informática2005-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf127-132http://sedici.unlp.edu.ar/handle/10915/9584enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct05-3.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-17T09:34:08Zoai:sedici.unlp.edu.ar:10915/9584Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 09:34:09.081SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A robust agorithm for eye detection on gray intensity face without spectacles
title A robust agorithm for eye detection on gray intensity face without spectacles
spellingShingle A robust agorithm for eye detection on gray intensity face without spectacles
Peng, Kun
Ciencias Informáticas
PATTERN RECOGNITION
IMAGE PROCESSING AND COMPUTER VISION
title_short A robust agorithm for eye detection on gray intensity face without spectacles
title_full A robust agorithm for eye detection on gray intensity face without spectacles
title_fullStr A robust agorithm for eye detection on gray intensity face without spectacles
title_full_unstemmed A robust agorithm for eye detection on gray intensity face without spectacles
title_sort A robust agorithm for eye detection on gray intensity face without spectacles
dc.creator.none.fl_str_mv Peng, Kun
Chen, Limin
Ruan, Su
Kukharev, Georgy
author Peng, Kun
author_facet Peng, Kun
Chen, Limin
Ruan, Su
Kukharev, Georgy
author_role author
author2 Chen, Limin
Ruan, Su
Kukharev, Georgy
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
PATTERN RECOGNITION
IMAGE PROCESSING AND COMPUTER VISION
topic Ciencias Informáticas
PATTERN RECOGNITION
IMAGE PROCESSING AND COMPUTER VISION
dc.description.none.fl_txt_mv This paper presents a robust eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, and to overcome their shortcomings. Firstly, after the location of face region is detected, a feature based method will be used to detect two rough regions of both eyes on the face. Then an accurate detection of iris centers will be continued by applying a template based method in these two rough regions. Results of experiments to the faces without spectacles show that the proposed approach is not only robust but also quite efficient.
Facultad de Informática
description This paper presents a robust eye detection algorithm for gray intensity images. The idea of our method is to combine the respective advantages of two existing techniques, feature based method and template based method, and to overcome their shortcomings. Firstly, after the location of face region is detected, a feature based method will be used to detect two rough regions of both eyes on the face. Then an accurate detection of iris centers will be continued by applying a template based method in these two rough regions. Results of experiments to the faces without spectacles show that the proposed approach is not only robust but also quite efficient.
publishDate 2005
dc.date.none.fl_str_mv 2005-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/9584
url http://sedici.unlp.edu.ar/handle/10915/9584
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct05-3.pdf
info:eu-repo/semantics/altIdentifier/issn/1666-6038
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
dc.format.none.fl_str_mv application/pdf
127-132
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.001348

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