A Proposal for a Homeostasis Based Adaptive Vision System

  • Javier Lorenzo-Navarro
  • Daniel Hernández
  • Cayetano Guerra
  • José Isern-González
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3522)


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.


Mobile Robot Camera Parameter White Balance Homeostatic Regulation Computer Vision Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Javier Lorenzo-Navarro
    • 1
  • Daniel Hernández
    • 1
  • Cayetano Guerra
    • 1
  • José Isern-González
    • 1
  1. 1.University of Las Palmas de Gran Canaria, Inst Univ. de Sistemas Inteligentes y Aplic. Num. en Ingeniería, Edif. Parque TecnológicoLas PalmasSpain

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