Illumination Independent Object Recognition

  • Nathan Lovell
Conference paper

DOI: 10.1007/11780519_34

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4020)
Cite this paper as:
Lovell N. (2006) Illumination Independent Object Recognition. In: Bredenfeld A., Jacoff A., Noda I., Takahashi Y. (eds) RoboCup 2005: Robot Soccer World Cup IX. RoboCup 2005. Lecture Notes in Computer Science, vol 4020. Springer, Berlin, Heidelberg

Abstract

Object recognition under uncontrolled illumination conditions remains one of hardest problems in machine vision. Under known lighting parameters, it is a simple task to calculate a transformation that maps sensed values to the expected colors in objects (and minimize the problems of reflections and/or texture). However, RoboCup aims to develop vision systems for natural lighting conditions in which the conditions are not only unknown but also dynamic. This makes fixed color-based image segmentation infeasible. We present a method for color determination under varying illumination conditions that succeeds in tracking the objects of interest in the RoboCup legged league.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nathan Lovell
    • 1
  1. 1.School of CITGriffith UniversityNathanAustralia

Personalised recommendations