Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/42874
| Título: | A proposal for a homeostasis based adaptive vision system | Autores/as: | Lorenzo-Navarro, Javier Hernández, Daniel Guerra, Cayetano Isern-González, José |
Clasificación UNESCO: | 120304 Inteligencia artificial | Fecha de publicación: | 2005 | Proyectos: | Aprendizaje Interactivo de Mapas Multisensoriales en Robótica Móvil. | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 2nd Iberian Conference on Pattern Recognition and Image Analysis Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 |
Resumen: | In this work an approach to an adaptive vision system is presented. It is based on a homeostatic approach where the system state is represented as a set of artificial hormones which are affected by the environmental changes. To compensate these changes, the vision system is endowed with drives which are in charge of modifying the system parameters in order to keep the system performance as high as possible. To coordinate the drives in the system, a supervisor level based on fuzzy logic has been added. Experiments in both controlled and uncontrolled environments have been carried out to validate the proposal. | URI: | http://hdl.handle.net/10553/42874 | ISBN: | 978-3-540-26153-7 | ISSN: | 0302-9743 | DOI: | 10.1007/11492429_23 | Fuente: | Marques J.S., Pérez de la Blanca N., Pina P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg |
| Colección: | Actas de congresos |
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