Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/116809
Campo DC Valoridioma
dc.contributor.authorLorenzo Navarro, José Javieren_US
dc.contributor.authorCastrillón Santana, Modesto Fernandoen_US
dc.contributor.authorHernández Tejera, Francisco Marioen_US
dc.contributor.authorDéniz, Óen_US
dc.date.accessioned2022-07-12T12:35:20Z-
dc.date.available2022-07-12T12:35:20Z-
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/10553/116809-
dc.description.abstractIn this paper the introduction of a homeostatic mechanism in a vision system is proposed. This homeostatic mechanism is based on artificial hormones for which five different states have been defined. The goal is to keep the system into a regime where the performance were acceptable for the task and to recover it when the environmental conditions change. For a face detection task we have propose the control of the luminance, white balance, contrast and size of the face. The introduction of the artificial hormones will allow to implement simple control strategies and with the definition of different states for each hormone we will be able to introduce adaptation depending on the deviation from the optimal regime. Finally we realize a set of experiments to test the proposed mechanism on a face detection system and using as performance measure the rate of detected faces.en_US
dc.languageengen_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.subject.otherEmotion-based Systemsen_US
dc.subject.otherFace Detectionen_US
dc.subject.otherHuman-Computer Interactionen_US
dc.titleIntroduction of homeostatic regulation in face detectionen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Workshop on Pattern Recognition in Information Systemsen_US
dc.description.lastpage10en_US
dc.description.firstpage1en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages10en_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0001-9717-8048-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
Colección:Actas de congresos
Adobe PDF (269,34 kB)
Vista resumida

Google ScholarTM

Verifica


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.