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dc.date.accessioned 2008-05-23T17:13:36Z
dc.date.available 2008-05-23T03:00:00Z
dc.date.issued 2005-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9584
dc.description.abstract 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. en
dc.format.extent 127-132 es
dc.language en es
dc.subject PATTERN RECOGNITION es
dc.subject IMAGE PROCESSING AND COMPUTER VISION es
dc.title A robust agorithm for eye detection on gray intensity face without spectacles en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct05-3.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Peng, Kun es
sedici.creator.person Chen, Limin es
sedici.creator.person Ruan, Su es
sedici.creator.person Kukharev, Georgy es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000611 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 5, no. 3 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)