Color based object recognition

  • T. Gevers
  • A. W. M. Smeulders
Session 4: Color & Texture
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)

Abstract

Assuming white illumination and dichromatic reflectance, we propose new color models c1c2c3 and l1l2l3 invariant to the viewing direction, object geometry and shading. Further, it is shown that l1l2l3 is also invariant to highlights. Further, a change in spectral power distribution of the illumination is considered to propose a new photometric color invariant m1m2m3 for matte objects.

To evaluate photometric color invariant object recognition in practice, experiments have been carried out on a database consisting of 500 images taken from 3-D multicolored man-made objects.

On the basis of the reported theory and experimental results, it is shown that high object recognition accuracy is achieved by l1l2l3 and hue H followed by c1c2c3 and normalized colors rgb under the constraint of white illumination. Finally, it is shown that solely m1m2m3 is invariant to a change in illumination color.

Keywords

Object Recognition Surface Albedo Color Feature Illumination Intensity Ranking Percentile 
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 1997

Authors and Affiliations

  • T. Gevers
    • 1
  • A. W. M. Smeulders
    • 1
  1. 1.Faculty of WINSUniversity of AmsterdamThe Netherlands

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