Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42874
Title: A proposal for a homeostasis based adaptive vision system
Authors: Lorenzo-Navarro, Javier 
Hernández, Daniel 
Guerra, Cayetano
Isern-González, José 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 2005
Project: Aprendizaje Interactivo de Mapas Multisensoriales en Robótica Móvil. 
Journal: Lecture Notes in Computer Science 
Conference: 2nd Iberian Conference on Pattern Recognition and Image Analysis 
Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 
Abstract: 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
Source: 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
Appears in Collections:Actas de congresos
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