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Relative Color Polygons for Object Detection and Recognition

  • Thi Thi Zin
  • Sung Shik Koh
  • Hiromitsu Hama
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4259)

Abstract

This paper proposes a new framework of the color model for outdoor scene image detection and recognition. This model enables us to manipulate easily the color of an image. Here, the concept of ‘relative color polygon’ for an object composed of uniform color regions is introduced on a 2D color space (XY space). Then the color similarity is defined using three kinds of parameters of the polygon: length and slope of every side and angle of adjacent sides. This paper addresses how to decide the color similarity by using the facts about color shifting on the XY space. The feasibility of the proposed framework has been confirmed through the experimental results using outdoor scene images taken under a great variety of various illumination conditions.

Keywords

Color Space Object Detection Illumination Condition Illumination Change Color Temperature 
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 2006

Authors and Affiliations

  • Thi Thi Zin
    • 1
  • Sung Shik Koh
    • 1
  • Hiromitsu Hama
    • 1
  1. 1.Graduate School of EngineeringOsaka City UniversityOsaka-shiJapan

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