Face Detection in Intelligent Ambiences with Colored Illumination

  • Christina Katsimerou
  • Judith A. Redi
  • Ingrid Heynderickx
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 219)

Abstract

Human face detection is an essential step in the creation of intelligent lighting ambiences, but the constantly changing multi-color illumination makes reliable face detection more challenging. Therefore, we introduce a new face detection and localization algorithm, which retains a high performance under various indoor illumination conditions. The method is based on the creation of a robust skin mask, using general color constancy techniques, and the application of the Viola-Jones face detector on the candidate face areas. Extensive experiments, using a challenging state-of-the-art database and a new one with a wider variation in colored illumination and cluttered background, show a significantly better performance for the newly proposed algorithm than for the most widely used face detection algorithms.

Keywords

intelligent ambiences adaptive lighting face detection skin segmentation color constancy 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Christina Katsimerou
    • 1
  • Judith A. Redi
    • 1
  • Ingrid Heynderickx
    • 1
  1. 1.Department of Intelligent SystemsTU DelftDelftThe Netherlands

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