4. Pixel-Based Photometric Invariance

  1. Theo Gevers,
  2. Arjan Gijsenij,
  3. Joost van de Weijer and
  4. Jan-Mark Geusebroek

Published Online: 21 AUG 2012

DOI: 10.1002/9781118350089.ch4

Color in Computer Vision: Fundamentals and Applications

Color in Computer Vision: Fundamentals and Applications

How to Cite

Gevers, T., Gijsenij, A., van de Weijer, J. and Geusebroek, J.-M. (2012) Pixel-Based Photometric Invariance, in Color in Computer Vision: Fundamentals and Applications, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118350089.ch4

Author Information

  1. Color in Computer Vision, John Wiley & Sons, Inc., Hoboken, NJ, USA

Publication History

  1. Published Online: 21 AUG 2012
  2. Published Print: 20 AUG 2012

ISBN Information

Print ISBN: 9780470890844

Online ISBN: 9781118350089

SEARCH

Keywords:

  • photometric/color invariance, color transformations at pixel;
  • computer vision and imaging, and photometric/color invariance;
  • color spaces, Normalized, Opponent, HSV, Composed;
  • color invariants, and Lambertian reflectance and white illumination;
  • histogram construction, unstable color invariant, with noise suppression

Summary

This chapter contains sections titled:

  • Normalized Color Spaces

  • Opponent Color Spaces

  • The HSV Color Space

  • Composed Color Spaces

  • Noise Stability and Histogram Construction

  • Application: Color-Based Object Recognition

  • Summary