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Getting the Most from Your Color Camera in a Color-Coded World

  • Erio Grillo
  • Matteo Matteucci
  • Domenico G. Sorrenti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3276)

Abstract

In this paper we present a proposal for setting camera parameters which we claim to give results better matched to applications in color-coded environments then the camera internal algorithms. Moreover it does not require online human intervention, i.e. is automated, and is faster than a human operator. This work applies to situations where the camera is used to extract information from a color-coded world. The experimental activity presented has been performed in the framework of Robocup mid-size rules, with the hypothesis of temporal constancy of light conditions; this work is the necessary first step toward dealing with slow changes, in the time domain, of light conditions.

Keywords

Genetic Algorithm Current Praxis Color Space Camera Parameter Color Camera 
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.

References

  1. 1.
    Technical Committee of the Midsize League for 2003: Rules for Robocup Midsize Competitions (2003), available at http://wwwradig.in.tum.de/MSL-2003/
  2. 2.
    1394 Trade Association: IIDC 1394-based Digital Camera Specification Version 1.30. 1394 Trade Association, Regency Plaza Suite 350, 2350 Mission College Blvd., Santa Clara, California 95054, USA, technical report id.: TA Document 1999023 (2000)Google Scholar
  3. 3.
    Poynton, C.A.: A technical introduction to digital video. Wiley, Chichester (1996)Google Scholar
  4. 4.
    Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing Company, Inc., Reading (1989)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Erio Grillo
    • 1
  • Matteo Matteucci
    • 2
  • Domenico G. Sorrenti
    • 3
  1. 1.Undergrad. Stud. (Informatica) at Universitá di Milano – Bicocca 
  2. 2.Dept. Elettronica e InformazionePolitecnico di Milano 
  3. 3.Dept. Informatica, Sist. e Comun.Universitá di Milano – Bicocca 

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